diff --git a/advanced/databases/biowave/2.json b/advanced/databases/biowave/2.json
new file mode 100644
index 0000000000000000000000000000000000000000..63a45864360d44e5f75bdfacf5b2b65b8e4f678f
--- /dev/null
+++ b/advanced/databases/biowave/2.json
@@ -0,0 +1,1579 @@
+{
+ "root_folder": "/idiap/project/biowave/biowave_v1/data",
+ "description": "BIOWAVE Vein Database",
+ "protocols": [
+ {
+ "name": "Idiap_1_1_R_BEAT_test",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_5_5_R_BEAT_test",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_5_R_BEAT_test",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_BEAT_test",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_BEAT_test",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_BEAT_test",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_BEAT_test",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_BEAT_test",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_1_R",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_5_R",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_5_R",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_R",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_R",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_R",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_R",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_3_5_R",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_3_5_R",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_3_5_R",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_3_5_R",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_3_5_R",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_3_5_R",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_5_5_R",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_1_L",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_5_L",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_5_L",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_L",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_L",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_L",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_L",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_5_5_L",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_1_R_less",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_less",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_less",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_less",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_less",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_less",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_5_R_less",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_less",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_less",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_less",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_less",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_5_R_less",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_5_5_R_less",
+ "template": "advanced_vein_recognition_2",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_less",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_less",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_less",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateView",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_less",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "View",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_less",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_1_R_annotations_BEAT_test",
+ "template": "advanced_vein_annotations",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R_BEAT_test",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_2_1_R_annotations_BEAT_test",
+ "template": "advanced_vein_annotations",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R_BEAT_test",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_probes",
+ "parameters": {
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+ "purpose": "probe"
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+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_1_1_R_annotations",
+ "template": "advanced_vein_annotations",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_R",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_probes",
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+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_2_1_R_annotations",
+ "template": "advanced_vein_annotations",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
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+ "parameters": {
+ "protocol": "Idiap_5_5_R",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
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+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
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+ "view": "TemplateViewAnnotations",
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+ {
+ "name": "Idiap_1_1_L_annotations",
+ "template": "advanced_vein_annotations",
+ "sets": [
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+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
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+ "view": "ViewAnnotations",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "world"
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+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
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+ "view": "TemplateViewAnnotations",
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+ "group": "dev",
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+ },
+ "template": "enroll"
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+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
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+ "protocol": "Idiap_1_1_L",
+ "group": "dev",
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+ "template": "probe"
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+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_1_1_L",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "Idiap_2_1_L_annotations",
+ "template": "advanced_vein_annotations",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "template": "train",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "world"
+ },
+ "name": "train"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "dev_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "dev",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "ViewAnnotations",
+ "name": "dev_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "dev",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ },
+ {
+ "outputs": {
+ "model_id": "{{ system_user.username }}/text/1",
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_templates",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "eval",
+ "purpose": "enroll"
+ },
+ "template": "enroll"
+ },
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1",
+ "client_id": "{{ system_user.username }}/uint64/1"
+ },
+ "view": "TemplateViewAnnotations",
+ "name": "eval_probes",
+ "parameters": {
+ "protocol": "Idiap_5_5_L",
+ "group": "eval",
+ "purpose": "probe"
+ },
+ "template": "probe"
+ }
+ ]
+ },
+ {
+ "name": "annotation_benchmark",
+ "template": "advanced_annotation_benchmark",
+ "sets": [
+ {
+ "outputs": {
+ "image": "{{ system_user.username }}/array_2d_uint8/1",
+ "vein_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "ROI_annotations": "{{ system_user.username }}/array_2d_uint8/1",
+ "alignment_annotations": "{{ system_user.username }}/array_1d_coordinates/1"
+ },
+ "view": "AnnotationBenchmark",
+ "template": "annotation_benchmark",
+ "parameters": {
+ "protocol": "Idiap_1_1_R"
+ },
+ "name": "annotations"
+ }
+ ]
+ }
+ ]
+}
diff --git a/advanced/databases/biowave/2.py b/advanced/databases/biowave/2.py
new file mode 100644
index 0000000000000000000000000000000000000000..cad66fd4cf70e4266984b48f01d1b353fdb2e703
--- /dev/null
+++ b/advanced/databases/biowave/2.py
@@ -0,0 +1,745 @@
+###############################################################################
+# #
+# Copyright (c) 2017 Idiap Research Institute, http://www.idiap.ch/ #
+# Contact: beat.support@idiap.ch #
+# #
+# This file is part of the beat.examples module of the BEAT platform. #
+# #
+# Commercial License Usage #
+# Licensees holding valid commercial BEAT licenses may use this file in #
+# accordance with the terms contained in a written agreement between you #
+# and Idiap. For further information contact tto@idiap.ch #
+# #
+# Alternatively, this file may be used under the terms of the GNU Affero #
+# Public License version 3 as published by the Free Software and appearing #
+# in the file LICENSE.AGPL included in the packaging of this file. #
+# The BEAT platform is distributed in the hope that it will be useful, but #
+# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY #
+# or FITNESS FOR A PARTICULAR PURPOSE. #
+# #
+# You should have received a copy of the GNU Affero Public License along #
+# with the BEAT platform. If not, see http://www.gnu.org/licenses/. #
+# #
+###############################################################################
+
+import os
+import numpy as np
+import bob.io.base
+import bob.io.image
+import bob.db.biowave_v1
+
+
+#----------------------------------------------------------
+
+
+def get_client_end_index(objs, client_id, client_start_index,
+ start_index, end_index):
+ client_end_index = client_start_index
+
+ while client_end_index + 1 <= end_index:
+ obj = objs[client_end_index + 1 - start_index]
+
+ if isinstance(obj, tuple):
+ obj = obj[1]
+
+ if obj.client_id != client_id:
+ return client_end_index
+
+ client_end_index += 1
+
+ return end_index
+
+
+#----------------------------------------------------------
+
+
+def get_model_end_index(objs, model_id, model_start_index,
+ start_index, end_index):
+ model_end_index = model_start_index
+
+ while model_end_index + 1 <= end_index:
+ obj = objs[model_end_index + 1 - start_index]
+
+ if obj.model_id != model_id:
+ return model_end_index
+
+ model_end_index += 1
+
+ return end_index
+
+
+#----------------------------------------------------------
+
+
+class View:
+ """Outputs:
+ - image: "{{ system_user.username }}/array_2d_uint8/1"
+ - client_id: "{{ system_user.username }}/uint64/1"
+
+ Several "image" are associated with a given "client_id".
+
+ --------------- --------------- --------------- --------------- --------------- ---------------
+ | image | | image | | image | | image | | image | | image |
+ --------------- --------------- --------------- --------------- --------------- ---------------
+ ----------------------------------------------- -----------------------------------------------
+ | client_id | | client_id |
+ ----------------------------------------------- -----------------------------------------------
+ """
+
+ def setup(self, root_folder, outputs, parameters, force_start_index=None,
+ force_end_index=None):
+
+ # Initialisations
+ self.root_folder = root_folder
+ self.outputs = outputs
+ self.parameters = parameters
+
+ # Open the database and load the objects to provide via the outputs
+ self.db = bob.db.biowave_v1.Database()
+
+ self.objs = sorted(self.db.objects(protocol=self.parameters['protocol'],
+ groups=[self.parameters['group']],
+ purposes=self.parameters.get('purpose', None),
+ annotated_images=False,
+ imagedir=self.root_folder),
+ key=lambda x: (x.client_id, x.id))
+
+ # Determine the range of indices that must be provided
+ self.start_index = force_start_index if force_start_index is not None else 0
+ self.end_index = force_end_index if force_end_index is not None else len(self.objs) - 1
+
+ self.objs = self.objs[self.start_index : self.end_index + 1]
+
+ self.next_index = self.start_index
+
+ return True
+
+
+ def done(self, last_data_index):
+ return last_data_index >= self.end_index
+
+
+ def next(self):
+ obj = self.objs[self.next_index - self.start_index]
+
+ # Output: client_id (only provide data when the client_id change)
+ if self.outputs['client_id'].isConnected() and \
+ self.outputs['client_id'].last_written_data_index < self.next_index:
+
+ client_end_index = get_client_end_index(self.objs, obj.client_id,
+ self.next_index,
+ self.start_index,
+ self.end_index)
+
+ self.outputs['client_id'].write(
+ {
+ 'value': np.uint64(obj.client_id)
+ },
+ client_end_index
+ )
+
+ # Output: image (provide data at each iteration)
+ if self.outputs['image'].isConnected():
+ self.outputs['image'].write(
+ {
+ 'value': obj.load(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Determine the next data index that must be provided
+ self.next_index = 1 + min([ x.last_written_data_index for x in self.outputs
+ if x.isConnected() ]
+ )
+
+ return True
+
+
+#----------------------------------------------------------
+
+
+class TemplateView:
+ """Outputs:
+ - image: "{{ system_user.username }}/array_2d_uint8/1"
+ - client_id: "{{ system_user.username }}/uint64/1"
+ - model_id: "{{ system_user.username }}/text/1"
+
+ Several "image" are associated with a given "model_id".
+ Several "model_id" are associated with a given "client_id".
+
+ --------------- --------------- --------------- --------------- --------------- ---------------
+ | image | | image | | image | | image | | image | | image |
+ --------------- --------------- --------------- --------------- --------------- ---------------
+ ----------------------------------------------- -----------------------------------------------
+ | model_id | | model_id |
+ ----------------------------------------------- -----------------------------------------------
+ -----------------------------------------------------------------------------------------------
+ | client_id |
+ -----------------------------------------------------------------------------------------------
+
+ Note: for this particular database, there is only one "image"
+ per "model_id".
+ """
+
+ def setup(self, root_folder, outputs, parameters, force_start_index=None,
+ force_end_index=None):
+
+ # Initialisations
+ self.root_folder = root_folder
+ self.outputs = outputs
+ self.parameters = parameters
+
+ # Open the database and load the objects to provide via the outputs
+ self.db = bob.db.biowave_v1.Database()
+
+ self.objs = sorted(self.db.objects(protocol=self.parameters['protocol'],
+ purposes=self.parameters['purpose'],
+ groups=[self.parameters['group']],
+ annotated_images=False,
+ imagedir=self.root_folder),
+ key=lambda x: (x.client_id, x.model_id, x.id))
+
+ # Determine the range of indices that must be provided
+ self.start_index = force_start_index if force_start_index is not None else 0
+ self.end_index = force_end_index if force_end_index is not None else len(self.objs) - 1
+
+ self.objs = self.objs[self.start_index : self.end_index + 1]
+
+ self.next_index = self.start_index
+
+ return True
+
+
+ def done(self, last_data_index):
+ return last_data_index >= self.end_index
+
+
+ def next(self):
+ obj = self.objs[self.next_index - self.start_index]
+
+ # Output: model_id (only provide data when the model_id change)
+ if self.outputs['model_id'].isConnected() and \
+ self.outputs['model_id'].last_written_data_index < self.next_index:
+
+ model_end_index = get_model_end_index(self.objs, obj.model_id,
+ self.next_index,
+ self.start_index,
+ self.end_index)
+
+ self.outputs['model_id'].write(
+ {
+ 'text': obj.model_id.encode('utf-8')
+ },
+ model_end_index
+ )
+
+ # Output: client_id (only provide data when the client_id change)
+ if self.outputs['client_id'].isConnected() and \
+ self.outputs['client_id'].last_written_data_index < self.next_index:
+
+ # Please pay attention - we can use the object CLIENT ID as long as we
+ # don't use both hands data of the same client in the same protocol.
+ client_end_index = get_client_end_index(self.objs, obj.client_id,
+ self.next_index,
+ self.start_index,
+ self.end_index)
+
+ self.outputs['client_id'].write(
+ {
+ 'value': np.uint64(obj.client_id)
+ },
+ client_end_index
+ )
+
+ # Output: image (provide data at each iteration)
+ if self.outputs['image'].isConnected():
+ self.outputs['image'].write(
+ {
+ 'value': obj.load(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Determine the next data index that must be provided
+ self.next_index = 1 + min([ x.last_written_data_index for x in self.outputs
+ if x.isConnected() ]
+ )
+
+ return True
+
+
+#----------------------------------------------------------
+
+
+class ViewAnnotations:
+ """Outputs:
+ - image: "{{ system_user.username }}/array_2d_uint8/1"
+ - vein_annotations: "{{ system_user.username }}/array_2d_uint8/1"
+ - ROI_annotations: "{{ system_user.username }}/array_2d_uint8/1"
+ - alignment_annotations: "{{ system_user.username }}/array_1d_coordinates/1"
+ - client_id: "{{ system_user.username }}/uint64/1"
+
+ One "vein_annotations" are associated with a given "image".
+ One "ROI_annotations" are associated with a given "image".
+ One "alignment_annotations" are associated with a given "image".
+ Several "image" are associated with a given "client_id".
+
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | image | | image | | image | | image |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | vein_annotations | | vein_annotations | | vein_annotations | | vein_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | ROI_annotations | | ROI_annotations | | ROI_annotations | | ROI_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | alignment_annotations | | alignment_annotations | | alignment_annotations | | alignment_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ --------------------------------------------------- ---------------------------------------------------
+ | client_id | | client_id |
+ --------------------------------------------------- ---------------------------------------------------
+ """
+
+ def setup(self, root_folder, outputs, parameters, force_start_index=None,
+ force_end_index=None):
+
+ # Initialisations
+ self.root_folder = root_folder
+ self.outputs = outputs
+ self.parameters = parameters
+
+ # Open the database and load the objects to provide via the outputs
+ self.db = bob.db.biowave_v1.Database()
+
+ self.objs = sorted(self.db.objects(protocol=self.parameters['protocol'],
+ groups=[self.parameters['group']],
+ purposes=self.parameters.get('purpose', None),
+ annotated_images=True,
+ imagedir=self.root_folder),
+ key=lambda x: (x.client_id, x.id))
+
+ # Determine the range of indices that must be provided
+ self.start_index = force_start_index if force_start_index is not None else 0
+ self.end_index = force_end_index if force_end_index is not None else len(self.objs) - 1
+
+ self.objs = self.objs[self.start_index : self.end_index + 1]
+
+ self.next_index = self.start_index
+
+ return True
+
+
+ def done(self, last_data_index):
+ return last_data_index >= self.end_index
+
+
+ def next(self):
+ obj = self.objs[self.next_index - self.start_index]
+
+ # Output: client_id (only provide data when the client_id change)
+ if self.outputs['client_id'].isConnected() and \
+ self.outputs['client_id'].last_written_data_index < self.next_index:
+
+ client_end_index = get_client_end_index(self.objs, obj.client_id,
+ self.next_index,
+ self.start_index,
+ self.end_index)
+
+ self.outputs['client_id'].write(
+ {
+ 'value': np.uint64(obj.client_id)
+ },
+ client_end_index
+ )
+
+ # Output: vein_annotations (provide data at each iteration)
+ if self.outputs['vein_annotations'].isConnected():
+ self.outputs['vein_annotations'].write(
+ {
+ 'value': obj.construct_vein_image(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Output: ROI_annotations (provide data at each iteration)
+ if self.outputs['ROI_annotations'].isConnected():
+ self.outputs['ROI_annotations'].write(
+ {
+ 'value': obj.construct_ROI_image(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Output: alignment_annotations (provide data at each iteration)
+ if self.outputs['alignment_annotations'].isConnected():
+ alignment_annotations = obj.alignment_annotations(directory=self.root_folder)
+
+ coordinate_list = []
+ for annotation in alignment_annotations:
+ coordinate = {
+ "y": np.int32(annotation[0]),
+ "x": np.int32(annotation[1])
+ }
+ coordinate_list.append(coordinate)
+
+ self.outputs['alignment_annotations'].write(
+ {
+ 'value': coordinate_list
+ },
+ self.next_index
+ )
+
+ # Output: image (provide data at each iteration)
+ if self.outputs['image'].isConnected():
+ self.outputs['image'].write(
+ {
+ 'value': obj.load(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Determine the next data index that must be provided
+ self.next_index = 1 + min([ x.last_written_data_index for x in self.outputs
+ if x.isConnected() ]
+ )
+
+ return True
+
+
+#----------------------------------------------------------
+
+
+class TemplateViewAnnotations:
+ """Outputs:
+ - image: "{{ system_user.username }}/array_2d_uint8/1"
+ - vein_annotations: "{{ system_user.username }}/array_2d_uint8/1"
+ - ROI_annotations: "{{ system_user.username }}/array_2d_uint8/1"
+ - alignment_annotations: "{{ system_user.username }}/array_1d_coordinates/1"
+ - model_id: "{{ system_user.username }}/model_id/1"
+ - client_id: "{{ system_user.username }}/uint64/1"
+
+ One "vein_annotations" are associated with a given "image".
+ One "ROI_annotations" are associated with a given "image".
+ One "alignment_annotations" are associated with a given "image".
+ Several "image" are associated with a given "model_id".
+ Several "model_id" are associated with a given "client_id".
+
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | image | | image | | image | | image |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | vein_annotations | | vein_annotations | | vein_annotations | | vein_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | ROI_annotations | | ROI_annotations | | ROI_annotations | | ROI_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | alignment_annotations | | alignment_annotations | | alignment_annotations | | alignment_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ --------------------------------------------------- ---------------------------------------------------
+ | model_id | | model_id |
+ --------------------------------------------------- ---------------------------------------------------
+ -------------------------------------------------------------------------------------------------------
+ | client_id |
+ -------------------------------------------------------------------------------------------------------
+
+ Note: for this particular database, there is only one "image"
+ per "model_id".
+ """
+
+ def setup(self, root_folder, outputs, parameters, force_start_index=None,
+ force_end_index=None):
+
+ # Initialisations
+ self.root_folder = root_folder
+ self.outputs = outputs
+ self.parameters = parameters
+
+ # Open the database and load the objects to provide via the outputs
+ self.db = bob.db.biowave_v1.Database()
+
+ self.objs = sorted(self.db.objects(protocol=self.parameters['protocol'],
+ purposes=self.parameters['purpose'],
+ groups=[self.parameters['group']],
+ annotated_images=True,
+ imagedir=self.root_folder),
+ key=lambda x: (x.client_id, x.model_id, x.id))
+
+ # Determine the range of indices that must be provided
+ self.start_index = force_start_index if force_start_index is not None else 0
+ self.end_index = force_end_index if force_end_index is not None else len(self.objs) - 1
+
+ self.objs = self.objs[self.start_index : self.end_index + 1]
+
+ self.next_index = self.start_index
+
+ return True
+
+
+ def done(self, last_data_index):
+ return last_data_index >= self.end_index
+
+
+ def next(self):
+ obj = self.objs[self.next_index - self.start_index]
+
+ # Output: model_id (only provide data when the model_id change)
+ if self.outputs['model_id'].isConnected() and \
+ self.outputs['model_id'].last_written_data_index < self.next_index:
+
+ model_end_index = get_model_end_index(self.objs, obj.model_id,
+ self.next_index,
+ self.start_index,
+ self.end_index)
+
+ self.outputs['model_id'].write(
+ {
+ 'text': obj.model_id.encode('utf-8')
+ },
+ model_end_index
+ )
+
+ # Output: client_id (only provide data when the client_id change)
+ if self.outputs['client_id'].isConnected() and \
+ self.outputs['client_id'].last_written_data_index < self.next_index:
+
+ # Please pay attention - we can use the object CLIENT ID as long as we
+ # don't use both hands data of the same client in the same protocol.
+ client_end_index = get_client_end_index(self.objs, obj.client_id,
+ self.next_index,
+ self.start_index,
+ self.end_index)
+
+ self.outputs['client_id'].write(
+ {
+ 'value': np.uint64(obj.client_id)
+ },
+ client_end_index
+ )
+
+ # Output: vein_annotations (provide data at each iteration)
+ if self.outputs['vein_annotations'].isConnected():
+ self.outputs['vein_annotations'].write(
+ {
+ 'value': obj.construct_vein_image(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Output: ROI_annotations (provide data at each iteration)
+ if self.outputs['ROI_annotations'].isConnected():
+ self.outputs['ROI_annotations'].write(
+ {
+ 'value': obj.construct_ROI_image(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Output: alignment_annotations (provide data at each iteration)
+ if self.outputs['alignment_annotations'].isConnected():
+ alignment_annotations = obj.alignment_annotations(directory=self.root_folder)
+
+ coordinate_list = []
+ for annotation in alignment_annotations:
+ coordinate = {
+ "y": np.int32(annotation[0]),
+ "x": np.int32(annotation[1])
+ }
+ coordinate_list.append(coordinate)
+
+ self.outputs['alignment_annotations'].write(
+ {
+ 'value': coordinate_list
+ },
+ self.next_index
+ )
+
+ # Output: image (provide data at each iteration)
+ if self.outputs['image'].isConnected():
+ self.outputs['image'].write(
+ {
+ 'value': obj.load(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Determine the next data index that must be provided
+ self.next_index = 1 + min([ x.last_written_data_index for x in self.outputs
+ if x.isConnected() ]
+ )
+
+ return True
+
+
+#----------------------------------------------------------
+
+
+class AnnotationBenchmark:
+ """Outputs:
+ - image: "{{ system_user.username }}/array_2d_uint8/1"
+ - vein_annotations: "{{ system_user.username }}/array_2d_uint8/1"
+ - ROI_annotations: "{{ system_user.username }}/array_2d_uint8/1"
+ - alignment_annotations: "{{ system_user.username }}/array_1d_coordinates/1"
+
+ One "vein_annotations" are associated with a given "image".
+ One "ROI_annotations" are associated with a given "image".
+ One "alignment_annotations" are associated with a given "image".
+
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | image | | image | | image | | image |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | vein_annotations | | vein_annotations | | vein_annotations | | vein_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | ROI_annotations | | ROI_annotations | | ROI_annotations | | ROI_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ ------------------------- ------------------------- ------------------------- -------------------------
+ | alignment_annotations | | alignment_annotations | | alignment_annotations | | alignment_annotations |
+ ------------------------- ------------------------- ------------------------- -------------------------
+ """
+
+ def setup(self, root_folder, outputs, parameters, force_start_index=None,
+ force_end_index=None):
+
+ # Initialisations
+ self.root_folder = root_folder
+ self.outputs = outputs
+ self.parameters = parameters
+
+ # Open the database and load the objects to provide via the outputs
+ self.db = bob.db.biowave_v1.Database()
+
+ self.objs = sorted(self.db.objects(protocol=self.parameters['protocol'],
+ annotated_images=True,
+ imagedir=self.root_folder),
+ key=lambda x: x.id)
+
+ # Determine the range of indices that must be provided
+ self.start_index = force_start_index if force_start_index is not None else 0
+ self.end_index = force_end_index if force_end_index is not None else len(self.objs) - 1
+
+ self.objs = self.objs[self.start_index : self.end_index + 1]
+
+ self.next_index = self.start_index
+
+ return True
+
+
+ def done(self, last_data_index):
+ return last_data_index >= self.end_index
+
+
+ def next(self):
+ obj = self.objs[self.next_index - self.start_index]
+
+ # Output: vein_annotations (provide data at each iteration)
+ if self.outputs['vein_annotations'].isConnected():
+ self.outputs['vein_annotations'].write(
+ {
+ 'value': obj.construct_vein_image(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Output: ROI_annotations (provide data at each iteration)
+ if self.outputs['ROI_annotations'].isConnected():
+ self.outputs['ROI_annotations'].write(
+ {
+ 'value': obj.construct_ROI_image(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Output: alignment_annotations (provide data at each iteration)
+ if self.outputs['alignment_annotations'].isConnected():
+ alignment_annotations = obj.alignment_annotations(directory=self.root_folder)
+
+ coordinate_list = []
+ for annotation in alignment_annotations:
+ coordinate = {
+ "y": np.int32(annotation[0]),
+ "x": np.int32(annotation[1])
+ }
+ coordinate_list.append(coordinate)
+
+ self.outputs['alignment_annotations'].write(
+ {
+ 'value': coordinate_list
+ },
+ self.next_index
+ )
+
+ # Output: image (provide data at each iteration)
+ if self.outputs['image'].isConnected():
+ self.outputs['image'].write(
+ {
+ 'value': obj.load(directory=self.root_folder)
+ },
+ self.next_index
+ )
+
+ # Determine the next data index that must be provided
+ self.next_index = 1 + min([ x.last_written_data_index for x in self.outputs
+ if x.isConnected() ]
+ )
+
+ return True
+
+
+#----------------------------------------------------------
+
+
+def setup_tests():
+ # Install a mock methods
+ def mock_load(obj, directory=''):
+ return np.ndarray((10, 20), dtype=np.uint8)
+
+ def mock_construct_vein_image(obj, directory=''):
+ return np.ndarray((10, 20), dtype=np.uint8)
+
+ def mock_construct_ROI_image(obj, directory=''):
+ return np.ndarray((10, 20), dtype=np.uint8)
+
+ bob.db.biowave_v1.models.File.load = mock_load
+ bob.db.biowave_v1.models.File.construct_vein_image = mock_construct_vein_image
+ bob.db.biowave_v1.models.File.construct_ROI_image = mock_construct_ROI_image
+
+
+#----------------------------------------------------------
+
+
+# Test the behavior of the views (on fake data)
+if __name__ == '__main__':
+
+ setup_tests()
+
+ from beat.backend.python.database import DatabaseTester
+
+ DatabaseTester('View', View,
+ [
+ 'client_id',
+ 'image',
+ ],
+ parameters=dict(
+ protocol="Idiap_1_1_R_BEAT_test",
+ group="world",
+ ),
+ )
+
+ DatabaseTester('TemplateView', TemplateView,
+ [
+ 'client_id',
+ 'model_id',
+ 'image',
+ ],
+ parameters=dict(
+ protocol="Idiap_1_1_R_BEAT_test",
+ group="dev",
+ purpose="enroll",
+ ),
+ irregular_outputs=[
+ 'model_id',
+ ]
+ )
diff --git a/advanced/databases/biowave/2.rst b/advanced/databases/biowave/2.rst
new file mode 100644
index 0000000000000000000000000000000000000000..aa9df6a3d5a3159f35bfa1252a40d7c462cc9bd4
--- /dev/null
+++ b/advanced/databases/biowave/2.rst
@@ -0,0 +1,208 @@
+.. Copyright (c) 2017 Idiap Research Institute, http://www.idiap.ch/ ..
+.. Contact: beat.support@idiap.ch ..
+.. ..
+.. This file is part of the beat.examples module of the BEAT platform. ..
+.. ..
+.. Commercial License Usage ..
+.. Licensees holding valid commercial BEAT licenses may use this file in ..
+.. accordance with the terms contained in a written agreement between you ..
+.. and Idiap. For further information contact tto@idiap.ch ..
+.. ..
+.. Alternatively, this file may be used under the terms of the GNU Affero ..
+.. Public License version 3 as published by the Free Software and appearing ..
+.. in the file LICENSE.AGPL included in the packaging of this file. ..
+.. The BEAT platform is distributed in the hope that it will be useful, but ..
+.. WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY ..
+.. or FITNESS FOR A PARTICULAR PURPOSE. ..
+.. ..
+.. You should have received a copy of the GNU Affero Public License along ..
+.. with the BEAT platform. If not, see http://www.gnu.org/licenses/. ..
+
+BIOWAVE Vein Database
+---------------------
+
+Changelog
+=========
+
+* **Version 2**, 17/Nov/2017:
+
+ - Add protocol 'Idiap_3_5_R'
+
+* **Version 1**, 30/Oct/2017:
+
+ - Initial release
+
+
+Description
+===========
+
+
+The ``BIOWAVE`` database contains wrist vein images that are acquired using
+BIOWATCH biometric sensor. For each subject of the database there are 3 session
+images (sessions were held at least 24 hours apart). Each session consists of 5
+attempts, in each attempt 5 images were acquired, meaning, that there are
+``3 sessions x 5 attempts x 5 images = 75`` images per each person's hand,
+``75 x 2 images`` per person.
+
+Images were previously manually evaluated, and if any of the 75 one hand's
+images were unusable (too blurred, veins couldn't be seen, etc), than all hand
+data were discarded. That is way some persons has only 1 hand's images in the
+database.
+
+Statistics of the data - in total 111 hands:
+
+1) Users with both hands images - 53
+2) Users with only R hand images - 4
+3) Users with only L hand images - 1
+
+
+
+Data division in ``groups`` and ``purposes``
+############################################
+
+
+In the BIOWAVE database there are following groups and purposes:
+
+
++-------------+-----------+-----------------------+------------------------+
+| **groups** | ``world`` | ``dev`` | ``eval`` |
++-------------+-----------+-----------------------+------------------------+
+|**purposes** | ``train`` |``enroll`` / ``probe`` | ``enroll`` / ``probe`` |
++-------------+-----------+-----------------------+------------------------+
+
+
+Data are divided into training, development and evolution data sets:
+
+1) ``dev`` data set -- ``20`` persons with both hand images;
+2) ``eval`` data set -- ``20`` persons with both hand images;
+3) ``world`` data set -- the rest of ``13`` persons with both hand images + ``4`` persons with only ``right`` hand and the ``1`` person with only ``left`` hand images.
+
+Data are divided as follows (the number means original persons ``ID`` (as in
+data collection)):
+
+1) ``dev`` data - [1, 3, 5, 6, 12, 15, 22, 23, 25, 45, 69, 71, 74, 76, 77, 78, 84, 129, 132, 134]
+2) ``eval`` data - [4, 7, 21, 42, 43, 48, 54, 57, 58, 72, 73, 75, 83, 90, 99, 130, 131, 138, 141, 143]
+3) ``world`` data - [13, 14, 17, 20, 24, 28, 31, 39, 51, 60, 68, 128, 133] + [37] + [2, 11, 46, 70]
+
+In the ``enroll`` data sets are images only from session ``1`` whereas in
+``probe`` data sets -- session's ``2`` and ``3`` data.
+
+
+Protocols
+#########
+
+There currently are 6 *standard* protocols:
+
+- ``Idiap_1_1_R``
+- ``Idiap_1_5_R``
+- ``Idiap_5_5_R``
+- ``Idiap_1_1_L``
+- ``Idiap_1_5_L``
+- ``Idiap_5_5_L``
+
+The general form::
+
+ Idiap_<a>_<b>_<c>
+
+* a -- number of attempts used to construct model;
+* b -- number of attempt images used to construct model;
+* c -- hand (``L`` or ``R``). Always all images are used, the opposite hand's images are mirrored.
+
+E.g. in protocol ``Idiap_5_5_R`` per one hand only one enroll model is
+constructed using all session ``1`` images (``5 attempt x 5 images``). In this
+protocol ``right`` hands are included unchanged, but ``left`` hands are
+mirrored.
+
+After data alignment were annotated, that included common point finding between
+each person images, we noted that some of the person data were almost impossible
+to annotate. Hands were:
+
+- Person_002/Right
+- Person_005/Left
+- Person_015/Right
+- Person_046/Right
+- Person_068/Right
+- Person_068/Left
+- Person_129/Right
+- Person_138/Left
+
+For protocols:
+
+- ``Idiap_1_1_R_less``
+- ``Idiap_1_5_R_less``
+- ``Idiap_5_5_R_less``
+
+also listed hand data were removed.
+
+
+Protocol ``Idiap_3_5_R`` is not *standard* - in this protocol enroll model is
+constructed using all 3 session 1st attempt images (thus each model consists of
+``3x5=15`` images). This protocol is made to understand the enroll image
+variabilities impact on the recognition rate.
+
+Finally, the protocols:
+
+- ``Idiap_1_1_R_BEAT_test``
+- ``Idiap_1_5_R_BEAT_test``
+- ``Idiap_5_5_R_BEAT_test``
+
+are made as test protocols mainly for the BEAT platform. Again, the numbers in
+the name indicates number of images per attempt and attempt count per each
+enroll model. Each of the protocol groups consists of only 2 person data:
+
+- train -- [128, 133],
+- dev -- [132, 134],
+- eval -- [141, 143].
+
+All these protocols uses the ``advanced_vein_recognition_2`` template.
+
+Annotations
+###########
+
+
+8% of database files have annotations (2 images per session, 6 images per hand,
+altogether 666 images). There are:
+
+- vein pattern binary annotations;
+- ROI binary annotations;
+- alignment point annotations (for each hand 3-5 points marked).
+
+
+Annotations to replace extractors
+#################################
+
+
+Special protocols that consists only the files that have annotations are made.
+Meaning, these protocols can be used to run !!!!! TBD
+
+
+
+
+
+The organisation of the database is the same as before, only now, because there
+are only 2 annotated images per session, protocols are renamed accordingly (also
+note, that now protocols ``Idiap_1_5_R`` and ``Idiap_1_5_L`` doesn't make any
+sense and are removed, because there are only 1 image per attempt that is
+annotated):
+
+- ``Idiap_1_1_R`` -> renamed as ``Idiap_1_1_R_annotations``;
+- ``Idiap_5_5_R`` -> renamed as ``Idiap_2_1_R_annotations``;
+- ``Idiap_1_1_L`` -> renamed as ``Idiap_1_1_L_annotations``;
+- ``Idiap_5_5_L`` -> renamed as ``Idiap_2_1_L_annotations``;
+
+
+Also, the same as ``Idiap_<a>_<b>_<c>_BEAT_test`` protocols were created to
+speedy test BEAT implementation and compare results with ``bob.bio.vein``, also
+test protocols for annotations are implemented:
+
+- ``Idiap_1_1_R_annotations_BEAT_test``;
+- ``Idiap_2_1_R_annotations_BEAT_test``;
+- ``Idiap_1_1_L_annotations_BEAT_test``;
+- ``Idiap_2_1_L_annotations_BEAT_test``;
+
+These protocols uses the ``advanced_vein_annotations`` template.
+
+Also, to benchmark different algorithms against **all** image annotations, there
+are implemented protocol ``annotations_benchmark`` that is implemented using
+``advanced_annotation_benchmark`` template.
+