From da6988bcbbf94c24ceb2ee9a5c89eb3d4746b118 Mon Sep 17 00:00:00 2001
From: dcarron <daniel.carron@idiap.ch>
Date: Thu, 11 Jul 2024 10:58:10 +0200
Subject: [PATCH] [tests] Update tests

---
 tests/classify/test_montgomery.py             |  3 +-
 tests/classify/test_tbx11k.py                 | 39 +++++----
 tests/conftest.py                             | 80 +++++++------------
 .../models/histograms_lwnet_cxr8_default.json | 30 +++----
 .../histograms_lwnet_drhagis_default.json     | 20 ++---
 ...ograms_lwnet_drishtigs1_optic_cup_all.json | 20 ++---
 .../histograms_lwnet_rimoner3_cup_exp1.json   | 20 ++---
 7 files changed, 98 insertions(+), 114 deletions(-)

diff --git a/tests/classify/test_montgomery.py b/tests/classify/test_montgomery.py
index 464f92f4..23d5d002 100644
--- a/tests/classify/test_montgomery.py
+++ b/tests/classify/test_montgomery.py
@@ -132,7 +132,8 @@ def test_raw_transforms_image_quality(database_checkers, datadir: pathlib.Path):
     # preprocessed version of the database.  In this case, we check the
     # reference histogram against another file.
     is_original = (
-        datamodule.unshuffled_train_dataloader().dataset[0][0].shape[-1] == 4892
+        datamodule.unshuffled_train_dataloader().dataset[0][0]["image"].shape[-1]
+        == 4892
     )
     if not is_original:
         reference_histogram_file = (
diff --git a/tests/classify/test_tbx11k.py b/tests/classify/test_tbx11k.py
index 7a5a5625..ded79893 100644
--- a/tests/classify/test_tbx11k.py
+++ b/tests/classify/test_tbx11k.py
@@ -181,13 +181,14 @@ def check_loaded_batch(
 
     assert len(batch) == 2  # data, metadata
 
-    assert isinstance(batch[0], torch.Tensor)
-    assert batch[0].shape[0] == batch_size  # mini-batch size
-    assert batch[0].shape[1] == color_planes
-    assert batch[0].shape[2] == batch[0].shape[3]  # image is square
+    assert isinstance(batch[0], dict)
+    assert isinstance(batch[0]["image"], torch.Tensor)
+    assert batch[0]["image"].shape[0] == batch_size  # mini-batch size
+    assert batch[0]["image"].shape[1] == color_planes
+    assert batch[0]["image"].shape[2] == batch[0]["image"].shape[3]  # image is square
 
     if expected_image_shape:
-        assert all([data.shape == expected_image_shape for data in batch[0]])
+        assert all([data.shape == expected_image_shape for data in batch[0]["image"]])
 
     assert isinstance(batch[1], dict)  # metadata
     assert len(batch[1]) == 3  # label, name and radiological sign bounding-boxes
@@ -203,12 +204,13 @@ def check_loaded_batch(
         [any([k.startswith(j) for j in prefixes]) for k in batch[1]["name"]],
     )
 
-    assert "bounding_boxes" in batch[1]
+    assert "bounding_boxes" in batch[0]
 
-    for sample, label, bboxes in zip(
-        batch[0],
+    for sample, label, bboxes, bboxes_target in zip(
+        batch[0]["image"],
         batch[1]["target"],
-        batch[1]["bounding_boxes"],
+        batch[0]["bounding_boxes"],
+        batch[1]["bounding_boxes_targets"],
     ):
         # there must be a sign indicated on the image, if active TB is detected
         if label == 1:
@@ -218,13 +220,18 @@ def check_loaded_batch(
         #    assert len(bboxes) == 0
 
         # asserts all bounding boxes are within the raw image width and height
-        for bbox in bboxes:
-            if label == 1:
-                assert bbox.label == 1
-            else:
-                assert bbox.label == 0
-            assert bbox.xmax < sample.shape[2]
-            assert bbox.ymax < sample.shape[1]
+        if bboxes is not None:
+            for bbox in bboxes:
+                if label == 1:
+                    assert bboxes_target == [1]
+                else:
+                    assert bboxes_target == [0]
+                assert (
+                    bbox.data[2] < sample.shape[2]
+                )  # check bbox is not outside image width
+                assert bbox.data[3] < sample.shape[1]  # same with height
+        else:
+            assert bboxes_target is None
 
     # use the code below to view generated images
     # from torchvision.transforms.functional import to_pil_image
diff --git a/tests/conftest.py b/tests/conftest.py
index acbc89f7..8cd41d58 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -185,65 +185,41 @@ class DatabaseCheckers:
 
         assert len(batch) == 2  # data, metadata
 
-        if isinstance(batch[0], dict):
-            assert isinstance(batch[0]["image"], torch.Tensor)
+        assert isinstance(batch[0], dict)
+        assert isinstance(batch[0]["image"], torch.Tensor)
 
-            assert batch[0]["image"].shape[0] == batch_size  # mini-batch size
-            assert batch[0]["image"].shape[1] == color_planes
+        assert batch[0]["image"].shape[0] == batch_size  # mini-batch size
+        assert batch[0]["image"].shape[1] == color_planes
 
-            if expected_image_shape:
-                assert all(
-                    [data.shape == expected_image_shape for data in batch[0]["image"]],
-                )
+        if expected_image_shape:
+            assert all(
+                [data.shape == expected_image_shape for data in batch[0]["image"]],
+            )
+
+        assert isinstance(batch[1], dict)  # metadata
+        assert len(batch[1]) == expected_meta_size
 
-            assert isinstance(batch[1], dict)  # metadata
-            assert len(batch[1]) == expected_meta_size
+        target_tuple_index = -1
+        if "target" in batch[0]:
+            target_tuple_index = 0
+        else:
+            target_tuple_index = 1
 
-            assert "target" in batch[0]
-            if possible_labels:
-                assert all([k in possible_labels for k in batch[0]["target"]])
+        assert "target" in batch[target_tuple_index]
 
-            if expected_num_labels:
-                assert len(batch[0]["target"]) == expected_num_labels
+        if possible_labels:
+            assert all(
+                [k in possible_labels for k in batch[target_tuple_index]["target"]]
+            )
 
-            assert "name" in batch[1]
-            if prefixes:
-                assert all(
-                    [
-                        any([k.startswith(j) for j in prefixes])
-                        for k in batch[1]["name"]
-                    ],
-                )
+        if expected_num_labels:
+            assert len(batch[target_tuple_index]["target"]) == expected_num_labels
 
-        else:
-            assert isinstance(batch[0], torch.Tensor)
-
-            assert batch[0].shape[0] == batch_size  # mini-batch size
-            assert batch[0].shape[1] == color_planes
-
-            if expected_image_shape:
-                assert all(
-                    [data.shape == expected_image_shape for data in batch[0]],
-                )
-
-            assert isinstance(batch[1], dict)  # metadata
-            assert len(batch[1]) == expected_meta_size
-
-            assert "target" in batch[1]
-            if possible_labels:
-                assert all([k in possible_labels for k in batch[1]["target"]])
-
-            if expected_num_labels:
-                assert len(batch[1]["target"]) == expected_num_labels
-
-            assert "name" in batch[1]
-            if prefixes:
-                assert all(
-                    [
-                        any([k.startswith(j) for j in prefixes])
-                        for k in batch[1]["name"]
-                    ],
-                )
+        assert "name" in batch[1]
+        if prefixes:
+            assert all(
+                [any([k.startswith(j) for j in prefixes]) for k in batch[1]["name"]],
+            )
 
         # use the code below to view generated images
         # from torchvision.transforms.functional import to_pil_image
diff --git a/tests/segment/data/histograms/models/histograms_lwnet_cxr8_default.json b/tests/segment/data/histograms/models/histograms_lwnet_cxr8_default.json
index 25e59eaf..0a938bfb 100644
--- a/tests/segment/data/histograms/models/histograms_lwnet_cxr8_default.json
+++ b/tests/segment/data/histograms/models/histograms_lwnet_cxr8_default.json
@@ -1,23 +1,23 @@
 {
   "train": [
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   ]
 }
diff --git a/tests/segment/data/histograms/models/histograms_lwnet_drhagis_default.json b/tests/segment/data/histograms/models/histograms_lwnet_drhagis_default.json
index 532c3b8c..428e2edf 100644
--- a/tests/segment/data/histograms/models/histograms_lwnet_drhagis_default.json
+++ b/tests/segment/data/histograms/models/histograms_lwnet_drhagis_default.json
@@ -1,16 +1,16 @@
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 }
diff --git a/tests/segment/data/histograms/models/histograms_lwnet_drishtigs1_optic_cup_all.json b/tests/segment/data/histograms/models/histograms_lwnet_drishtigs1_optic_cup_all.json
index 24b20ca7..61299b75 100644
--- a/tests/segment/data/histograms/models/histograms_lwnet_drishtigs1_optic_cup_all.json
+++ b/tests/segment/data/histograms/models/histograms_lwnet_drishtigs1_optic_cup_all.json
@@ -1,16 +1,16 @@
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diff --git a/tests/segment/data/histograms/models/histograms_lwnet_rimoner3_cup_exp1.json b/tests/segment/data/histograms/models/histograms_lwnet_rimoner3_cup_exp1.json
index 922781c8..5002a5e4 100644
--- a/tests/segment/data/histograms/models/histograms_lwnet_rimoner3_cup_exp1.json
+++ b/tests/segment/data/histograms/models/histograms_lwnet_rimoner3_cup_exp1.json
@@ -1,16 +1,16 @@
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-- 
GitLab