Update & add dependencies

- path.py has been renamed to path: reflect this in requirements.txt
  and update API usage in run_inference.py (namebase method does not
  exists anymore)
- add tqdm and scipy as explicit dependencies

Author: mickaelseznec

requirements.txt

@@ -5,4 +5,6 @@ spatial-correlation-sampler>=0.2.1
 tensorboardX>=1.4
 imageio
 argparse
-path.py
+path
+tqdm
+scipy

run_inference.py

@@ -71,7 +71,7 @@ def main():
     for ext in args.img_exts:
         test_files = data_dir.files('*1.{}'.format(ext))
         for file in test_files:
-            img_pair = file.parent / (file.namebase[:-1] + '2.{}'.format(ext))
+            img_pair = file.parent / (file.basename().splitext()[0][:-1] + '2.{}'.format(ext))
             if img_pair.isfile():
                 img_pairs.append([file, img_pair])
 
@@ -103,7 +103,7 @@ def main():
         if args.upsampling is not None:
             output = F.interpolate(output, size=img1.size()[-2:], mode=args.upsampling, align_corners=False)
         for suffix, flow_output in zip(['flow', 'inv_flow'], output):
-            filename = save_path/'{}{}'.format(img1_file.namebase[:-1], suffix)
+            filename = save_path/'{}{}'.format(img1_file.basename().splitext()[0][:-1], suffix)
             if args.output_value in['vis', 'both']:
                 rgb_flow = flow2rgb(args.div_flow * flow_output, max_value=args.max_flow)
                 to_save = (rgb_flow * 255).astype(np.uint8).transpose(1,2,0)