Update testdata.py

testdata.py

@@ -73,8 +73,8 @@ class TestData(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "image": datasets.Image(),
-                    "path": datasets.Value("string"),
-                    "gt_path": datasets.Value("string"),
+                    "faces": datasets.Sequence(datasets.Sequence(datasets.Value("float32"), length=4)),
+                    "plates": datasets.Sequence(datasets.Sequence(datasets.Value("float32"), length=4)), 
                     
                 }
             ),
@@ -99,17 +99,38 @@ class TestData(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, split, data_dir, annot_dir):
         image_dir = os.path.join(data_dir, "fisheye")
-        annotation_dir = os.path.join(annot_dir, "annotations", "fisheye")
+        annotation_dir = os.path.join(annot_dir, "fisheye")
         files = []
         
         idx = 0
         for i_file in glob(os.path.join(image_dir, "*.png")):
+            plates = []
+            faces = []
+            
             img_relative_file = os.path.relpath(i_file, image_dir)
             gt_relative_path = img_relative_file.replace(".png", ".txt")
             
             gt_path = os.path.join(annotation_dir, gt_relative_path)
             
-            yield idx, {"image": i_file, "path": i_file, "gt_path": gt_path}
+            annotation = defaultdict(list)
+            with open(gt_file, "r", encoding="utf-8") 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([x1, y1, x2, y2])
+                    else:
+                        plates([x1, y1, x2, y2])
+            
+            yield idx, {"image": i_file, "faces": faces, "plates": plates}
             
             idx += 1