CI: deploy Docker/PDM Space

services/app_service/deim_model.py

@@ -109,7 +109,6 @@ class DeimHgnetV2MDrone(BaseModel):
         if not mask.any():
             return np.zeros((0, 5), dtype=np.float32)
         valid = b_np[mask]
-        valid = valid
         cx, cy, box_w, box_h = valid[:, 0], valid[:, 1], valid[:, 2], valid[:, 3]
         x1 = cx - box_w / 2
         y1 = cy - box_h / 2
@@ -198,7 +197,6 @@ class DeimHgnetV2MDrone(BaseModel):
         out_dir.mkdir(parents=True, exist_ok=True)
         out_path = out_dir / f"{input_p.stem}_annotated.mp4"
 
-
         try:
             while True:
                 ret, frame_bgr = cap.read()
@@ -226,5 +224,5 @@ class DeimHgnetV2MDrone(BaseModel):
 
 if __name__ == "__main__":
     model = DeimHgnetV2MDrone(version="v2")
-    output_image = model.predict_video("/Users/rimma_vakhreeva/PycharmProjects/NATSAR-Demo/services/app_service/resources/videos/raw/sample1.mp4", 0.3)
+    output_image = model.predict_video("./resources/videos/raw/sample1.mp4", 0.3)
     output_image.show()