diff --git a/otx/algorithms/anomaly/adapters/anomalib/data/dataset.py b/otx/algorithms/anomaly/adapters/anomalib/data/dataset.py index 271a336ab89..fbc92b1d9b7 100644 --- a/otx/algorithms/anomaly/adapters/anomalib/data/dataset.py +++ b/otx/algorithms/anomaly/adapters/anomalib/data/dataset.py @@ -112,18 +112,18 @@ class AnomalyClassificationDataset(BaseAnomalyDataset): Example: >>> train_subset = { "ann_file": "tests/assets/anomaly/classification/train.json", - "data_root": "tests/assets/anomaly/shapes", + "data_root": "tests/assets/anomaly/hazelnut", } >>> val_subset = { "ann_file": "tests/assets/anomaly/classification/val.json", - "data_root": "tests/assets/anomaly/shapes" + "data_root": "tests/assets/anomaly/hazelnut" } >>> training_dataset = AnomalyClassificationDataset( train_subset=train_subset, val_subset=val_subset ) >>> test_subset = { "ann_file": "tests/assets/anomaly/classification/test.json", - "data_root": "tests/assets/anomaly/shapes" + "data_root": "tests/assets/anomaly/hazelnut" } >>> testing_dataset = AnomalyClassificationDataset(test_subset=test_subset) """ @@ -169,18 +169,18 @@ class AnomalySegmentationDataset(BaseAnomalyDataset): Example: >>> train_subset = { "ann_file": "tests/assets/anomaly/segmentation/train.json", - "data_root": "tests/assets/anomaly/shapes", + "data_root": "tests/assets/anomaly/hazelnut", } >>> val_subset = { "ann_file": "tests/assets/anomaly/segmentation/val.json", - "data_root": "tests/assets/anomaly/shapes" + "data_root": "tests/assets/anomaly/hazelnut" } >>> training_dataset = AnomalySegmentationDataset( train_subset=train_subset, val_subset=val_subset ) >>> test_subset = { "ann_file": "tests/assets/anomaly/segmentation/test.json", - "data_root": "tests/assets/anomaly/shapes" + "data_root": "tests/assets/anomaly/hazelnut" } >>> testing_dataset = AnomalySegmentationDataset(test_subset=test_subset) @@ -249,18 +249,18 @@ class AnomalyDetectionDataset(BaseAnomalyDataset): Example: >>> train_subset = { "ann_file": "tests/assets/anomaly/detection/train.json", - "data_root": "tests/assets/anomaly/shapes", + "data_root": "tests/assets/anomaly/hazelnut", } >>> val_subset = { "ann_file": "tests/assets/anomaly/detection/val.json", - "data_root": "tests/assets/anomaly/shapes" + "data_root": "tests/assets/anomaly/hazelnut" } >>> training_dataset = AnomalyDetectionDataset( train_subset=train_subset, val_subset=val_subset ) >>> test_subset = { "ann_file": "tests/assets/anomaly/detection/test.json", - "data_root": "tests/assets/anomaly/shapes" + "data_root": "tests/assets/anomaly/hazelnut" } >>> testing_dataset = AnomalyDetectionDataset(test_subset=test_subset) diff --git a/tests/assets/anomaly/classification/test.json b/tests/assets/anomaly/classification/test.json index 9b02d11ce08..a16ae69665a 100644 --- a/tests/assets/anomaly/classification/test.json +++ b/tests/assets/anomaly/classification/test.json @@ -1,56 +1,41 @@ { "image_path": { - "1": "test/good/004.png", - "2": "test/good/005.png", - "3": "test/good/006.png", - "4": "test/good/007.png", - "5": "test/good/008.png", - "6": "test/good/009.png", - "7": "test/star/004.png", - "8": "test/star/005.png", - "9": "test/star/006.png", - "10": "test/star/007.png", - "11": "test/star/008.png", - "12": "test/star/009.png", - "13": "test/hexagon/004.png", - "14": "test/hexagon/005.png", - "15": "test/hexagon/006.png", - "16": "test/hexagon/007.png", - "17": "test/hexagon/008.png", - "18": "test/hexagon/009.png" + "0": "test/good/25.jpg", + "1": "test/good/05.jpg", + "2": "test/good/28.jpg", + "3": "test/colour/06.jpg", + "4": "test/colour/03.jpg", + "5": "test/colour/07.jpg", + "6": "test/colour/14.jpg", + "7": "test/colour/01.jpg", + "8": "test/colour/12.jpg", + "9": "test/colour/11.jpg", + "10": "test/colour/09.jpg", + "11": "test/colour/08.jpg" }, "label": { + "0": "good", "1": "good", "2": "good", - "3": "good", - "4": "good", - "5": "good", - "6": "good", - "7": "star", - "8": "star", - "9": "star", - "10": "star", - "11": "star", - "12": "star", - "13": "hexagon", - "14": "hexagon", - "15": "hexagon", - "16": "hexagon", - "17": "hexagon", - "18": "hexagon" + "3": "abnormal", + "4": "abnormal", + "5": "abnormal", + "6": "abnormal", + "7": "abnormal", + "8": "abnormal", + "9": "abnormal", + "10": "abnormal", + "11": "abnormal" }, - "mask_path": { - "7": "ground_truth/star/004_mask.png", - "8": "ground_truth/star/005_mask.png", - "9": "ground_truth/star/006_mask.png", - "10": "ground_truth/star/007_mask.png", - "11": "ground_truth/star/008_mask.png", - "12": "ground_truth/star/009_mask.png", - "13": "ground_truth/hexagon/004_mask.png", - "14": "ground_truth/hexagon/005_mask.png", - "15": "ground_truth/hexagon/006_mask.png", - "16": "ground_truth/hexagon/007_mask.png", - "17": "ground_truth/hexagon/008_mask.png", - "18": "ground_truth/hexagon/009_mask.png" + "masks": { + "3": "mask/colour/06.png", + "4": "mask/colour/03.png", + "5": "mask/colour/07.png", + "6": "mask/colour/14.png", + "7": "mask/colour/01.png", + "8": "mask/colour/12.png", + "9": "mask/colour/11.png", + "10": "mask/colour/09.png", + "11": "mask/colour/08.png" } } diff --git a/tests/assets/anomaly/classification/train.json b/tests/assets/anomaly/classification/train.json index 52e9bde3d6f..26c75cf333c 100644 --- a/tests/assets/anomaly/classification/train.json +++ b/tests/assets/anomaly/classification/train.json @@ -1,25 +1,33 @@ { "image_path": { - "0": "train/good/000.png", - "1": "train/good/001.png", - "2": "train/good/002.png", - "3": "train/good/003.png", - "4": "train/good/004.png", - "5": "train/good/005.png", - "6": "train/good/006.png", - "7": "train/good/007.png", - "8": "train/good/008.png", - "9": "train/good/009.png", - "10": "train/good/010.png", - "11": "train/good/011.png", - "12": "train/good/012.png", - "13": "train/good/013.png", - "14": "train/good/014.png", - "15": "train/good/015.png", - "16": "train/good/016.png", - "17": "train/good/017.png", - "18": "train/good/018.png", - "19": "train/good/019.png" + "0": "train/good/06.jpg", + "1": "train/good/32.jpg", + "2": "train/good/00.jpg", + "3": "train/good/33.jpg", + "4": "train/good/21.jpg", + "5": "train/good/03.jpg", + "6": "train/good/07.jpg", + "7": "train/good/14.jpg", + "8": "train/good/17.jpg", + "9": "train/good/02.jpg", + "10": "train/good/30.jpg", + "11": "train/good/26.jpg", + "12": "train/good/19.jpg", + "13": "train/good/16.jpg", + "14": "train/good/01.jpg", + "15": "train/good/15.jpg", + "16": "train/good/31.jpg", + "17": "train/good/27.jpg", + "18": "train/good/29.jpg", + "19": "train/good/10.jpg", + "20": "train/good/20.jpg", + "21": "train/good/12.jpg", + "22": "train/good/11.jpg", + "23": "train/good/24.jpg", + "24": "train/good/09.jpg", + "25": "train/good/08.jpg", + "26": "train/good/22.jpg", + "27": "train/good/18.jpg" }, "label": { "0": "good", @@ -41,6 +49,15 @@ "16": "good", "17": "good", "18": "good", - "19": "good" - } + "19": "good", + "20": "good", + "21": "good", + "22": "good", + "23": "good", + "24": "good", + "25": "good", + "26": "good", + "27": "good" + }, + "masks": {} } diff --git a/tests/assets/anomaly/classification/val.json b/tests/assets/anomaly/classification/val.json index 06a129ebef6..51dff55bea2 100644 --- a/tests/assets/anomaly/classification/val.json +++ b/tests/assets/anomaly/classification/val.json @@ -1,40 +1,38 @@ { "image_path": { - "1": "test/good/000.png", - "2": "test/good/001.png", - "3": "test/good/002.png", - "4": "test/good/003.png", - "5": "test/star/000.png", - "6": "test/star/001.png", - "7": "test/star/002.png", - "8": "test/star/003.png", - "9": "test/hexagon/000.png", - "10": "test/hexagon/001.png", - "11": "test/hexagon/002.png", - "12": "test/hexagon/003.png" + "0": "test/good/13.jpg", + "1": "test/good/23.jpg", + "2": "test/good/04.jpg", + "3": "test/colour/13.jpg", + "4": "test/colour/00.jpg", + "5": "test/colour/05.jpg", + "6": "test/colour/02.jpg", + "7": "test/colour/16.jpg", + "8": "test/colour/15.jpg", + "9": "test/colour/10.jpg", + "10": "test/colour/04.jpg" }, "label": { + "0": "good", "1": "good", "2": "good", - "3": "good", - "4": "good", - "5": "star", - "6": "star", - "7": "star", - "8": "star", - "9": "hexagon", - "10": "hexagon", - "11": "hexagon", - "12": "hexagon" + "3": "abnormal", + "4": "abnormal", + "5": "abnormal", + "6": "abnormal", + "7": "abnormal", + "8": "abnormal", + "9": "abnormal", + "10": "abnormal" }, - "mask_path": { - "5": "ground_truth/star/000_mask.png", - "6": "ground_truth/star/001_mask.png", - "7": "ground_truth/star/002_mask.png", - "8": "ground_truth/star/003_mask.png", - "9": "ground_truth/hexagon/000_mask.png", - "10": "ground_truth/hexagon/001_mask.png", - "11": "ground_truth/hexagon/002_mask.png", - "12": "ground_truth/hexagon/003_mask.png" + "masks": { + "3": "mask/colour/13.png", + "4": "mask/colour/00.png", + "5": "mask/colour/05.png", + "6": "mask/colour/02.png", + "7": "mask/colour/16.png", + "8": "mask/colour/15.png", + "9": "mask/colour/10.png", + "10": "mask/colour/04.png" } } diff --git a/tests/assets/anomaly/detection/test.json b/tests/assets/anomaly/detection/test.json index 30bbb954d2a..d347897c4da 100644 --- a/tests/assets/anomaly/detection/test.json +++ b/tests/assets/anomaly/detection/test.json @@ -1,76 +1,62 @@ { "image_path": { - "1": "test/good/004.png", - "2": "test/good/005.png", - "3": "test/good/006.png", - "4": "test/good/007.png", - "5": "test/good/008.png", - "6": "test/good/009.png", - "7": "test/star/004.png", - "8": "test/star/005.png", - "9": "test/star/006.png", - "10": "test/star/007.png", - "11": "test/star/008.png", - "12": "test/star/009.png", - "13": "test/hexagon/004.png", - "14": "test/hexagon/005.png", - "15": "test/hexagon/006.png", - "16": "test/hexagon/007.png", - "17": "test/hexagon/008.png", - "18": "test/hexagon/009.png" + "0": "test/good/25.jpg", + "1": "test/good/05.jpg", + "2": "test/good/28.jpg", + "3": "test/colour/06.jpg", + "4": "test/colour/03.jpg", + "5": "test/colour/07.jpg", + "6": "test/colour/14.jpg", + "7": "test/colour/01.jpg", + "8": "test/colour/12.jpg", + "9": "test/colour/11.jpg", + "10": "test/colour/09.jpg", + "11": "test/colour/08.jpg" }, "label": { + "0": "good", "1": "good", "2": "good", - "3": "good", - "4": "good", - "5": "good", - "6": "good", - "7": "star", - "8": "star", - "9": "star", - "10": "star", - "11": "star", - "12": "star", - "13": "hexagon", - "14": "hexagon", - "15": "hexagon", - "16": "hexagon", - "17": "hexagon", - "18": "hexagon" + "3": "abnormal", + "4": "abnormal", + "5": "abnormal", + "6": "abnormal", + "7": "abnormal", + "8": "abnormal", + "9": "abnormal", + "10": "abnormal", + "11": "abnormal" }, "bboxes": { - "7": [[0.03125, 0.1953125, 0.84375, 0.9765625]], - "8": [ - [0.03125, 0.0703125, 0.9609375, 0.9765625], - [0.375, 0.4296875, 0.484375, 0.5390625] + "3": [[0.3125, 0.4296875, 0.7109375, 0.69140625]], + "4": [ + [0.37109375, 0.240234375, 0.630859375, 0.333984375], + [0.375, 0.421875, 0.6875, 0.736328125] ], - "9": [ - [0.25, 0.8671875, 0.265625, 0.9140625], - [0.0390625, 0.09375, 0.8359375, 0.84375] + "5": [ + [0.509765625, 0.341796875, 0.751953125, 0.48046875], + [0.34375, 0.345703125, 0.64453125, 0.609375] ], - "10": [[0.015625, 0.15625, 0.9609375, 0.9765625]], - "11": [[0.0625, 0.0546875, 0.953125, 0.9609375]], - "12": [ - [0.6953125, 0.71875, 0.9765625, 0.9765625], - [0.203125, 0.4375, 0.421875, 0.6328125], - [0.109375, 0.09375, 0.40625, 0.375] + "6": [[0.384765625, 0.55859375, 0.63671875, 0.712890625]], + "7": [[0.341796875, 0.33203125, 0.578125, 0.552734375]], + "8": [ + [0.28125, 0.240234375, 0.708984375, 0.62109375], + [0.724609375, 0.494140625, 0.75, 0.521484375] ], - "13": [ - [0.2890625, 0.6640625, 0.6015625, 0.921875], - [0.0078125, 0.15625, 0.1171875, 0.25], - [0.59375, 0.046875, 0.6875, 0.1171875] + "9": [ + [0.2734375, 0.41796875, 0.404296875, 0.568359375], + [0.439453125, 0.43359375, 0.60546875, 0.52734375], + [0.330078125, 0.580078125, 0.44921875, 0.697265625], + [0.46875, 0.6640625, 0.484375, 0.68359375] ], - "14": [[0.0078125, 0.0, 0.9296875, 0.796875]], - "15": [ - [0.359375, 0.53125, 0.796875, 0.8984375], - [0.65625, 0.0, 0.984375, 0.2890625] + "10": [ + [0.5859375, 0.310546875, 0.66015625, 0.408203125], + [0.705078125, 0.3125, 0.744140625, 0.349609375], + [0.345703125, 0.390625, 0.625, 0.623046875] ], - "16": [[0.0078125, 0.0, 0.984375, 0.8828125]], - "17": [[0.203125, 0.0, 0.984375, 0.859375]], - "18": [ - [0.421875, 0.1328125, 0.796875, 0.4453125], - [0.03125, 0.0, 0.40625, 0.3125] + "11": [ + [0.501953125, 0.267578125, 0.70703125, 0.6953125], + [0.2421875, 0.494140625, 0.279296875, 0.62109375] ] } } diff --git a/tests/assets/anomaly/detection/train.json b/tests/assets/anomaly/detection/train.json index 64b5e7f92a3..22c842cb67d 100644 --- a/tests/assets/anomaly/detection/train.json +++ b/tests/assets/anomaly/detection/train.json @@ -1,25 +1,33 @@ { "image_path": { - "0": "train/good/000.png", - "1": "train/good/001.png", - "2": "train/good/002.png", - "3": "train/good/003.png", - "4": "train/good/004.png", - "5": "train/good/005.png", - "6": "train/good/006.png", - "7": "train/good/007.png", - "8": "train/good/008.png", - "9": "train/good/009.png", - "10": "train/good/010.png", - "11": "train/good/011.png", - "12": "train/good/012.png", - "13": "train/good/013.png", - "14": "train/good/014.png", - "15": "train/good/015.png", - "16": "train/good/016.png", - "17": "train/good/017.png", - "18": "train/good/018.png", - "19": "train/good/019.png" + "0": "train/good/06.jpg", + "1": "train/good/32.jpg", + "2": "train/good/00.jpg", + "3": "train/good/33.jpg", + "4": "train/good/21.jpg", + "5": "train/good/03.jpg", + "6": "train/good/07.jpg", + "7": "train/good/14.jpg", + "8": "train/good/17.jpg", + "9": "train/good/02.jpg", + "10": "train/good/30.jpg", + "11": "train/good/26.jpg", + "12": "train/good/19.jpg", + "13": "train/good/16.jpg", + "14": "train/good/01.jpg", + "15": "train/good/15.jpg", + "16": "train/good/31.jpg", + "17": "train/good/27.jpg", + "18": "train/good/29.jpg", + "19": "train/good/10.jpg", + "20": "train/good/20.jpg", + "21": "train/good/12.jpg", + "22": "train/good/11.jpg", + "23": "train/good/24.jpg", + "24": "train/good/09.jpg", + "25": "train/good/08.jpg", + "26": "train/good/22.jpg", + "27": "train/good/18.jpg" }, "label": { "0": "good", @@ -41,7 +49,15 @@ "16": "good", "17": "good", "18": "good", - "19": "good" + "19": "good", + "20": "good", + "21": "good", + "22": "good", + "23": "good", + "24": "good", + "25": "good", + "26": "good", + "27": "good" }, "bboxes": {} } diff --git a/tests/assets/anomaly/detection/val.json b/tests/assets/anomaly/detection/val.json index 0dd1689863e..7f31dc68a1c 100644 --- a/tests/assets/anomaly/detection/val.json +++ b/tests/assets/anomaly/detection/val.json @@ -1,53 +1,82 @@ { "image_path": { - "1": "test/good/000.png", - "2": "test/good/001.png", - "3": "test/good/002.png", - "4": "test/good/003.png", - "5": "test/star/000.png", - "6": "test/star/001.png", - "7": "test/star/002.png", - "8": "test/star/003.png", - "9": "test/hexagon/000.png", - "10": "test/hexagon/001.png", - "11": "test/hexagon/002.png", - "12": "test/hexagon/003.png" + "0": "test/good/13.jpg", + "1": "test/good/23.jpg", + "2": "test/good/04.jpg", + "3": "test/colour/13.jpg", + "4": "test/colour/00.jpg", + "5": "test/colour/05.jpg", + "6": "test/colour/02.jpg", + "7": "test/colour/16.jpg", + "8": "test/colour/15.jpg", + "9": "test/colour/10.jpg", + "10": "test/colour/04.jpg" }, "label": { + "0": "good", "1": "good", "2": "good", - "3": "good", - "4": "good", - "5": "star", - "6": "star", - "7": "star", - "8": "star", - "9": "hexagon", - "10": "hexagon", - "11": "hexagon", - "12": "hexagon" + "3": "abnormal", + "4": "abnormal", + "5": "abnormal", + "6": "abnormal", + "7": "abnormal", + "8": "abnormal", + "9": "abnormal", + "10": "abnormal" }, "bboxes": { - "5": [[0.03125, 0.109375, 0.9609375, 0.9765625]], + "3": [ + 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a/tests/e2e/cli/anomaly/test_anomaly_classification.py +++ b/tests/e2e/cli/anomaly/test_anomaly_classification.py @@ -41,10 +41,10 @@ ) args = { - "--train-data-roots": "tests/assets/anomaly/shapes/train", - "--val-data-roots": "tests/assets/anomaly/shapes/test", - "--test-data-roots": "tests/assets/anomaly/shapes/test", - "--input": "tests/assets/anomaly/shapes/test/hexagon", + "--train-data-roots": "tests/assets/anomaly/hazelnut/train", + "--val-data-roots": "tests/assets/anomaly/hazelnut/test", + "--test-data-roots": "tests/assets/anomaly/hazelnut/test", + "--input": "tests/assets/anomaly/hazelnut/test/colour", "train_params": [], } diff --git a/tests/e2e/cli/anomaly/test_anomaly_detection.py b/tests/e2e/cli/anomaly/test_anomaly_detection.py index 86f3bfcda61..bfe444b1430 100644 --- a/tests/e2e/cli/anomaly/test_anomaly_detection.py +++ b/tests/e2e/cli/anomaly/test_anomaly_detection.py @@ -41,10 +41,10 @@ ) args = { - "--train-data-roots": "tests/assets/anomaly/shapes/train", - "--val-data-roots": "tests/assets/anomaly/shapes/test", - "--test-data-roots": "tests/assets/anomaly/shapes/test", - "--input": "tests/assets/anomaly/shapes/test/hexagon", + "--train-data-roots": "tests/assets/anomaly/hazelnut/train", + "--val-data-roots": "tests/assets/anomaly/hazelnut/test", + "--test-data-roots": "tests/assets/anomaly/hazelnut/test", + "--input": "tests/assets/anomaly/hazelnut/test/colour", "train_params": [], } diff --git a/tests/e2e/cli/anomaly/test_anomaly_segmentation.py b/tests/e2e/cli/anomaly/test_anomaly_segmentation.py index dac19a054f2..ca94765bbbe 100644 --- a/tests/e2e/cli/anomaly/test_anomaly_segmentation.py +++ b/tests/e2e/cli/anomaly/test_anomaly_segmentation.py @@ -41,10 +41,10 @@ ) args = { - "--train-data-roots": "tests/assets/anomaly/shapes/train", - "--val-data-roots": "tests/assets/anomaly/shapes/test", - "--test-data-roots": "tests/assets/anomaly/shapes/test", - "--input": "tests/assets/anomaly/shapes/test/hexagon", + "--train-data-roots": "tests/assets/anomaly/hazelnut/train", + "--val-data-roots": "tests/assets/anomaly/hazelnut/test", + "--test-data-roots": "tests/assets/anomaly/hazelnut/test", + "--input": "tests/assets/anomaly/hazelnut/test/colour", "train_params": [], } diff --git a/tests/integration/cli/anomaly/test_anomaly_classification.py b/tests/integration/cli/anomaly/test_anomaly_classification.py index cd07186d6c2..3c1c13e1245 100644 --- a/tests/integration/cli/anomaly/test_anomaly_classification.py +++ b/tests/integration/cli/anomaly/test_anomaly_classification.py @@ -31,10 +31,10 @@ ) args = { - "--train-data-roots": "tests/assets/anomaly/shapes/train", - "--val-data-roots": "tests/assets/anomaly/shapes/test", - "--test-data-roots": "tests/assets/anomaly/shapes/test", - "--input": "tests/assets/anomaly/shapes/test/hexagon", + "--train-data-roots": "tests/assets/anomaly/hazelnut/train", + "--val-data-roots": "tests/assets/anomaly/hazelnut/test", + "--test-data-roots": "tests/assets/anomaly/hazelnut/test", + "--input": "tests/assets/anomaly/hazelnut/test/colour", "train_params": [], } diff --git a/tests/integration/cli/anomaly/test_anomaly_detection.py b/tests/integration/cli/anomaly/test_anomaly_detection.py index 194ccd2f680..cc23ab89bfc 100644 --- a/tests/integration/cli/anomaly/test_anomaly_detection.py +++ b/tests/integration/cli/anomaly/test_anomaly_detection.py @@ -31,10 +31,10 @@ ) args = { - "--train-data-roots": "tests/assets/anomaly/shapes/train", - "--val-data-roots": "tests/assets/anomaly/shapes/test", - "--test-data-roots": "tests/assets/anomaly/shapes/test", - "--input": "tests/assets/anomaly/shapes/test/hexagon", + "--train-data-roots": "tests/assets/anomaly/hazelnut/train", + "--val-data-roots": "tests/assets/anomaly/hazelnut/test", + "--test-data-roots": "tests/assets/anomaly/hazelnut/test", + "--input": "tests/assets/anomaly/hazelnut/test/colour", "train_params": [], } diff --git a/tests/integration/cli/anomaly/test_anomaly_segmentation.py b/tests/integration/cli/anomaly/test_anomaly_segmentation.py index ef41bbc90a4..1728daaa021 100644 --- a/tests/integration/cli/anomaly/test_anomaly_segmentation.py +++ b/tests/integration/cli/anomaly/test_anomaly_segmentation.py @@ -31,10 +31,10 @@ ) args = { - "--train-data-roots": "tests/assets/anomaly/shapes/train", - "--val-data-roots": "tests/assets/anomaly/shapes/test", - "--test-data-roots": "tests/assets/anomaly/shapes/test", - "--input": "tests/assets/anomaly/shapes/test/hexagon", + "--train-data-roots": "tests/assets/anomaly/hazelnut/train", + "--val-data-roots": "tests/assets/anomaly/hazelnut/test", + "--test-data-roots": "tests/assets/anomaly/hazelnut/test", + "--input": "tests/assets/anomaly/hazelnut/test/colour", "train_params": [], } diff --git a/tests/unit/algorithms/anomaly/adapters/data/test_dataset.py b/tests/unit/algorithms/anomaly/adapters/data/test_dataset.py index 63d5863497d..48077cf03d8 100644 --- a/tests/unit/algorithms/anomaly/adapters/data/test_dataset.py +++ b/tests/unit/algorithms/anomaly/adapters/data/test_dataset.py @@ -6,7 +6,7 @@ import pytest from otx.api.entities.model_template import TaskType -from tests.unit.algorithms.anomaly.helpers.dummy_dataset import ShapesDataModule +from tests.unit.algorithms.anomaly.helpers.dummy_dataset import HazelnutDataModule @pytest.mark.parametrize("stage", ["predict", "fit", "validate", "test"]) @@ -16,7 +16,7 @@ def test_dataloaders(task_type, stage): For all the test stages and the task types, the datamodule should return the correct keys. """ - datamodule = ShapesDataModule(task_type) + datamodule = HazelnutDataModule(task_type) datamodule.setup(stage) if stage == "fit": batch = next(iter(datamodule.train_dataloader())) diff --git a/tests/unit/algorithms/anomaly/conftest.py b/tests/unit/algorithms/anomaly/conftest.py index 45e679135ac..4a8215820d1 100644 --- a/tests/unit/algorithms/anomaly/conftest.py +++ b/tests/unit/algorithms/anomaly/conftest.py @@ -10,7 +10,7 @@ from otx.api.entities.model import ModelEntity from otx.api.entities.model_template import TaskType from otx.api.entities.task_environment import TaskEnvironment -from tests.unit.algorithms.anomaly.helpers.dummy_dataset import get_shapes_dataset +from tests.unit.algorithms.anomaly.helpers.dummy_dataset import get_hazelnut_dataset from tests.unit.algorithms.anomaly.helpers.utils import create_task_environment @@ -30,7 +30,7 @@ class TestEnvironment: def setup_task_environment(request): """Returns a task environment, a model and datset.""" task_type = request.param - dataset: DatasetEntity = get_shapes_dataset(task_type, one_each=True) + dataset: DatasetEntity = get_hazelnut_dataset(task_type, one_each=True) task_environment = create_task_environment(dataset, task_type) output_model = ModelEntity( dataset, diff --git a/tests/unit/algorithms/anomaly/helpers/dummy_dataset.py b/tests/unit/algorithms/anomaly/helpers/dummy_dataset.py index b6d4186a85f..5bd7f39d3c7 100644 --- a/tests/unit/algorithms/anomaly/helpers/dummy_dataset.py +++ b/tests/unit/algorithms/anomaly/helpers/dummy_dataset.py @@ -40,8 +40,8 @@ from otx.api.entities.subset import Subset -def get_shapes_dataset(task_type: TaskType, one_each: bool = False) -> DatasetEntity: - """Get shapes dataset. +def get_hazelnut_dataset(task_type: TaskType, one_each: bool = False) -> DatasetEntity: + """Get hazelnut dataset. Args: task_type (TaskType): Task type. @@ -144,8 +144,8 @@ def predict_dataloader(self) -> DataLoader: return DataLoader(self.dataset, shuffle=False, pin_memory=True) -class ShapesDataModule(OTXAnomalyDataModule): - """Creates datamodule with shapes dataset. +class HazelnutDataModule(OTXAnomalyDataModule): + """Creates datamodule with hazelnut dataset. Args: task_type (TaskType): Task type (classification, detection, segmentation) @@ -164,14 +164,13 @@ def __init__(self, task_type: TaskType): } } ) - # self.dataset = ShapesDataset(get_shapes_dataset(task_type), task_type, self.config) - self.dataset = get_shapes_dataset(task_type) + self.dataset = get_hazelnut_dataset(task_type) super().__init__(config=self.config, dataset=self.dataset, task_type=task_type) def _get_annotations(task: str) -> Tuple[Dict, Dict, Dict]: ann_file_root = Path("tests", "assets", "anomaly", task) - data_root = Path("tests", "assets", "anomaly", "shapes") + data_root = Path("tests", "assets", "anomaly", "hazelnut") train_subset = {"ann_file": str(ann_file_root / "train.json"), "data_root": str(data_root)} test_subset = {"ann_file": str(ann_file_root / "test.json"), "data_root": str(data_root)} diff --git a/tests/unit/algorithms/anomaly/tasks/test_inference.py b/tests/unit/algorithms/anomaly/tasks/test_inference.py index bc57a5e7393..353a260550a 100644 --- a/tests/unit/algorithms/anomaly/tasks/test_inference.py +++ b/tests/unit/algorithms/anomaly/tasks/test_inference.py @@ -14,7 +14,7 @@ from otx.api.entities.resultset import ResultSetEntity from otx.api.entities.subset import Subset from otx.api.usecases.tasks.interfaces.export_interface import ExportType -from tests.unit.algorithms.anomaly.helpers.dummy_dataset import get_shapes_dataset +from tests.unit.algorithms.anomaly.helpers.dummy_dataset import get_hazelnut_dataset from tests.unit.algorithms.anomaly.helpers.utils import create_task_environment @@ -41,7 +41,7 @@ def test_inference(self, tmpdir, setup_task_environment): assert output_model.get_data("weights.pth") is not None # Should not raise an error # 3. Create new task environment and inference task and test inference - new_dataset: DatasetEntity = get_shapes_dataset(task_type, one_each=True) + new_dataset: DatasetEntity = get_hazelnut_dataset(task_type, one_each=True) gt_val_dataset = new_dataset.get_subset(Subset.VALIDATION) new_task_environment = create_task_environment(gt_val_dataset, task_type) # this loads the output model from the previous training task when creating the new InferenceTask diff --git a/tests/unit/core/data/manager/test_dataset_manager.py b/tests/unit/core/data/manager/test_dataset_manager.py index 82403e77758..3b4ff0ca5ef 100644 --- a/tests/unit/core/data/manager/test_dataset_manager.py +++ b/tests/unit/core/data/manager/test_dataset_manager.py @@ -22,7 +22,7 @@ "tests/assets/imagenet_dataset", "tests/assets/car_tree_bug", "tests/assets/cityscapes_dataset/dataset", - "tests/assets/anomaly/shapes", + "tests/assets/anomaly/hazelnut", "tests/assets/cvat_dataset/action_classification/train", ] diff --git a/tests/unit/core/data/test_helpers.py b/tests/unit/core/data/test_helpers.py index 256a5e58be6..624d3ee7a9f 100644 --- a/tests/unit/core/data/test_helpers.py +++ b/tests/unit/core/data/test_helpers.py @@ -53,19 +53,19 @@ "unlabeled": "tests/assets/common_semantic_segmentation_dataset/val", }, "anomaly_classification": { - "train": "tests/assets/anomaly/shapes", - "val": "tests/assets/anomaly/shapes", - "test": "tests/assets/anomaly/shapes", + "train": "tests/assets/anomaly/hazelnut", + "val": "tests/assets/anomaly/hazelnut", + "test": "tests/assets/anomaly/hazelnut", }, "anomaly_detection": { - "train": "tests/assets/anomaly/shapes", - "val": "tests/assets/anomaly/shapes", - "test": "tests/assets/anomaly/shapes", + "train": "tests/assets/anomaly/hazelnut", + "val": "tests/assets/anomaly/hazelnut", + "test": "tests/assets/anomaly/hazelnut", }, "anomaly_segmentation": { - "train": "tests/assets/anomaly/shapes", - "val": "tests/assets/anomaly/shapes", - "test": "tests/assets/anomaly/shapes", + "train": "tests/assets/anomaly/hazelnut", + "val": "tests/assets/anomaly/hazelnut", + "test": "tests/assets/anomaly/hazelnut", }, "action_classification": { "train": "tests/assets/cvat_dataset/action_classification/train",