fix celery

demo/webcam.py

@@ -10,7 +10,7 @@ def img_to_three_color_map(source_path, target_path):
     parser = argparse.ArgumentParser(description="PyTorch Object Detection Webcam Demo")
     parser.add_argument(
         "--config-file",
-        default="../configs/caffe2/e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml",
+        default="configs/caffe2/e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml",
         metavar="FILE",
         help="path to config file",
     )
@@ -50,7 +50,7 @@ def img_to_three_color_map(source_path, target_path):
 
     # load config from file and command-line arguments
     cfg.merge_from_file(args.config_file)
-    cfg.merge_from_list(args.opts)
+    # cfg.merge_from_list(args.opts)
     cfg.freeze()
 
     # prepare object that handles inference plus adds predictions on top of image

proj/work.py → work.py

@@ -13,14 +13,18 @@ def write_redis(source_path, target_path):
 
 
 def main():
-    rs = os.walk('../../fashionbase/images/dataset_0520/weiyi')
+    rs = os.walk('../fashionbase/images/dataset_0520/weiyi')
     for a, b, files in rs:
         for file in files:
-            source_path = '../../fashionbase/images/dataset_0520/weiyi/' + file
+            dir = source_path.replace('dataset_0520', 'dataset_0520_10000')
+            fold = os.exit(dir)
+            if not fold:
+                os.mkdir(dir)
+            source_path = '../fashionbase/images/dataset_0520/weiyi/' + file
             target_path = source_path.replace('dataset_0520', 'dataset_0520_10000')
             print(source_path)
             print(target_path)
-            # write_redis(source_path, target_path)
+            #write_redis(source_path, target_path)
 
 
 if __name__ == '__main__':