I am running the mentioned notebook. All is fine until step 5.2 when I get the following output:
Model input size: 512x512
Number of dataset found in the folder: 30
in ()
52 print('Running QC on: '+filename)
53 test_input = io.imread(os.path.join(Source_QC_folder, filename), as_gray=True)
---> 54 test_ground_truth_image = io.imread(os.path.join(Target_QC_folder, filename), as_gray=True)
55
56 (threshold_list, iou_scores_per_threshold) = getIoUvsThreshold(os.path.join(prediction_QC_folder, prediction_prefix+filename), os.path.join(Target_QC_folder, filename))
6 frames
/usr/local/lib/python3.7/dist-packages/imageio/core/request.py in _parse_uri(self, uri)
381 # Reading: check that the file exists (but is allowed a dir)
382 if not os.path.exists(fn):
--> 383 raise FileNotFoundError("No such file: '%s'" % fn)
384 else:
385 # Writing: check that the directory to write to does exist
FileNotFoundError: No such file: '/content/gdrive/MyDrive/Data/membrane/membrane-model/Quality Control/Prediction/8.png'
I am running the mentioned notebook. All is fine until step 5.2 when I get the following output: Model input size: 512x512 Number of dataset found in the folder: 30
100% 30/30 [00:02<00:00, 13.98it/s]
Running QC on: 8.png
FileNotFoundError Traceback (most recent call last)