Update testdata.py

testdata.py

@@ -109,14 +109,6 @@ class TestData(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         data_dir = dl_manager.download_and_extract(_URLS)
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "split": "train",
-                    "data_dir": data_dir["test"],
-                    "annot_dir": data_dir["annot"],
-                },
-            ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
@@ -125,14 +117,6 @@ class TestData(datasets.GeneratorBasedBuilder):
                     "annot_dir": data_dir["annot"],
                 },
             ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "split": "val",
-                    "data_dir": data_dir["test"],
-                    "annot_dir": data_dir["annot"],
-                },
-            ),
         ]
     
     def _generate_examples(self, split, data_dir, annot_dir):
@@ -141,7 +125,6 @@ class TestData(datasets.GeneratorBasedBuilder):
         files = []
         faces = []
         plates = []
-        logger.info(image_dir)
         for file_type in IMG_EXT:
             files.extend(list(Path(image_dir).glob(f'**/*.{file_type}')))
             
@@ -149,21 +132,24 @@ class TestData(datasets.GeneratorBasedBuilder):
             img_relative_path = image_path.relative_to(image_dir)
             gt_pah = (Path(annotation_dir) / img_relative_path).with_suffix('.txt')
             
-            annotation = parse_annotation(gt_pah)
+            #annotation = parse_annotation(gt_pah)
+
+            annotation = defaultdict(list)
+            with open(gt_pah, 'r') as f:
+                line = f.readline().strip()
+                while line:
+                    assert re.match(r'^\d( [\d\.]+){4,5}$', line), 'Incorrect line: %s' % line
+                    cls, cx, cy, w, h = line.split()[:5]
+                    cls, cx, cy, w, h = int(cls), float(cx), float(cy), float(w), float(h)
+                    x1, y1, x2, y2 = cx - w / 2, cy - h / 2, cx + w / 2, cy + h / 2
+                    annotation[cls].append([x1, y1, x2, y2])
+                    line = f.readline().strip()
             
             for cls, bboxes in annotation.items():
                 for x1, y1, x2, y2 in bboxes:
                     if cls == 0:
-                        faces.append(
-                                {
-                                    "bbox": [x1, y1, x2, y2]
-                                }
-                            )
+                        faces.append({"bbox": [x1, y1, x2, y2]})
                     else:
-                        plates(
-                                {
-                                    "bbox": [x1, y1, x2, y2]
-                                }
-                            )
+                        plates({"bbox": [x1, y1, x2, y2]})
             
             yield idx, {"image": image_path, "faces": faces, "plates": plates}