remove bugs

.gitignore

@@ -117,4 +117,5 @@ dmypy.json
 trial.ipynb
 
 # original data
-original_data/
+original_data/
+cache_dir/

data/train.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2c0717779d3b83d32ed81bfcdd91468ad9a00135978fde76ed1f4cdb02010ba3
-size 1254072
+oid sha256:56e72010436361979b537553f53e1387240c297532c78361fbb3d5cdf95df935
+size 1248852

data/valid.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:438cad2398de0ba6af7f69c208459a65967d45272edd42186cf1bfcf2ecf13be
-size 321278
+oid sha256:9fcbd463bfab4fbdf11c894d1d9002425fdb1f77dd8d8c4d38fbd39569401eea
+size 319706

dataset_infos.json

@@ -1 +1 @@
-{"jalFaizy--detect_chess_pieces": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "label": {"num_classes": 4, "names": ["blackKing", "whiteKing", "blackQueen", "whiteQueen"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "object-detection", "image_column": "image", "label_column": "label"}], "builder_name": "imagefolder", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1257869.0, "num_examples": 204, "dataset_name": "detect_chess_pieces"}, "validation": {"name": "validation", "num_bytes": 320797.0, "num_examples": 52, "dataset_name": "detect_chess_pieces"}}, "download_checksums": null, "download_size": 316483, "post_processing_size": null, "dataset_size": 1578666.0, "size_in_bytes": 1895149.0}}
+{"jalFaizy--detect_chess_pieces": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "label": {"num_classes": 4, "names": ["blackKing", "whiteKing", "blackQueen", "whiteQueen"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "imagefolder", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1257869.0, "num_examples": 204, "dataset_name": "detect_chess_pieces"}, "validation": {"name": "validation", "num_bytes": 320797.0, "num_examples": 52, "dataset_name": "detect_chess_pieces"}}, "download_checksums": null, "download_size": 316483, "post_processing_size": null, "dataset_size": 1578666.0, "size_in_bytes": 1895149.0}, "default": {"description": "The \"Object Detection for Chess Pieces\" dataset is a toy dataset created (as suggested by the name!) to introduce object detection in a beginner friendly way.\n", "citation": "", "homepage": "https://github.com/faizankshaikh/chessDetection", "license": "CC-BY-SA:2.0", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "objects": {"feature": {"label": {"num_classes": 4, "names": ["blackKing", "whiteKing", "blackQueen", "whiteQueen"], "id": null, "_type": "ClassLabel"}, "bbox": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "detect_chess_pieces", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 32768, "num_examples": 204, "dataset_name": "detect_chess_pieces"}, "validation": {"name": "validation", "num_bytes": 8353, "num_examples": 52, "dataset_name": "detect_chess_pieces"}}, "download_checksums": {"data/train.zip": {"num_bytes": 1248852, "checksum": "56e72010436361979b537553f53e1387240c297532c78361fbb3d5cdf95df935"}, "data/valid.zip": {"num_bytes": 319706, "checksum": "9fcbd463bfab4fbdf11c894d1d9002425fdb1f77dd8d8c4d38fbd39569401eea"}}, "download_size": 1568558, "post_processing_size": null, "dataset_size": 41121, "size_in_bytes": 1609679}}

detect_chess_pieces.py

@@ -15,9 +15,11 @@
 
 
 import os
-
 import datasets
 
+from PIL import Image
+from glob import glob
+
 _CITATION = ""
 
 _DESCRIPTION = """\
@@ -28,9 +30,11 @@ _HOMEPAGE = "https://github.com/faizankshaikh/chessDetection"
 
 _LICENSE = "CC-BY-SA:2.0"
 
-_REPO = "data"  # "https://huggingface.co/datasets/jalFaizy/resolve/main/data"
+_REPO = "data"# "https://huggingface.co/datasets/jalFaizy/detect_chess_pieces/raw/main/data"
 _URLS = {"train": f"{_REPO}/train.zip", "valid": f"{_REPO}/valid.zip"}
 
+_CATEGORIES = ["blackKing", "whiteKing", "blackQueen", "whiteQueen"]
+
 
 class DetectChessPieces(datasets.GeneratorBasedBuilder):
     """Object Detection for Chess Pieces dataset"""
@@ -42,7 +46,10 @@ class DetectChessPieces(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "image": datasets.Image(),
-                    "bboxes": datasets.Sequence(datasets.Value("int32"), length=5),
+                    "objects": datasets.Sequence({
+                        "label": datasets.ClassLabel(names=_CATEGORIES),
+                        "bbox": datasets.Sequence(datasets.Value("int32"), length=4)
+                    }),
                 }
             ),
             supervised_keys=None,
@@ -54,6 +61,7 @@ class DetectChessPieces(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         data_dir = dl_manager.download_and_extract(_URLS)
+        print(data_dir["train"])
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -68,14 +76,18 @@ class DetectChessPieces(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, split, data_dir):
         image_dir = os.path.join(data_dir, "images")
         label_dir = os.path.join(data_dir, "labels")
-        for idx, (image_path, label_path) in enumerate(zip(image_dir, label_dir)):
+        
+        image_paths = sorted(glob(image_dir + "/*/*.png"))
+        label_paths = sorted(glob(label_dir + "/*/*.txt"))
+    
+        for idx, (image_path, label_path) in enumerate(zip(image_paths, label_paths)):
             im = Image.open(image_path)
             width, height = im.size
 
             with open(label_path, "r") as f:
                 lines = f.readlines()
 
-            bboxes = []
+            objects = []
             for line in lines:
                 line = line.strip().split()
                 try:
@@ -87,7 +99,10 @@ class DetectChessPieces(datasets.GeneratorBasedBuilder):
                 except:
                     print(f"Check file {f.name} for errors")
 
-                bbox = [bbox_class, bbox_xcenter, bbox_ycenter, bbox_width, bbox_height]
-                bboxes.append(bbox)
+                #bbox = [bbox_class, bbox_xcenter, bbox_ycenter, bbox_width, bbox_height]
+                objects.append({
+                    "label": bbox_class,
+                    "bbox": [bbox_xcenter, bbox_ycenter, bbox_width, bbox_height]
+                })
 
-            yield idx, {"image": image_path, "bboxes": bboxes}
+            yield idx, {"image": image_path, "objects": objects}