Create fiftyone.py

fiftyone.py

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+import fiftyone as fo
+import fiftyone.utils.hf_hub as fouh
+
+class FashionopediaLoader(fouh.BaseHuggingFaceLoader):
+
+    def load(self):
+        if "name" in self.kwargs:
+            self.kwargs.pop("name")
+        dataset = fo.Dataset(name="fashionopedia-val", **self.kwargs)
+        
+        label_classes = self.hf_dataset.features['objects'].feature['category'].names
+
+        samples = []
+
+        download_dir = fouh._get_download_dir(self.repo_id)
+
+        for i, item in enumerate(self.hf_dataset):
+            image = item['image']
+            basename = f"image_{i}"
+            save_path = _save_PIL_image_to_disk(image, download_dir, basename)
+            
+            width, height = item['width'], item['height']
+
+            objs = item['objects']
+            categories = objs['category']
+            bboxes = objs['bbox']
+            dets = []
+            
+            for cat, bbox in zip(categories, bboxes):
+                x0, y0, x1, y1 = bbox
+                x0n, y0n, x1n, y1n = x0/width, y0/height, x1/width, y1/height
+                fo_bbox = [x0n, y0n, x1n-x0n, y1n-y0n]
+                label = label_classes[cat]
+                dets.append(fo.Detection(label=label, bounding_box=fo_bbox))
+
+            detections = fo.Detections(detections=dets)
+
+            samples.append(fo.Sample(filepath=save_path, objs=detections))
+        dataset.add_samples(samples)
+        return dataset
+        
+                
+            
+            
+            
+