Run in Win10

[metascience-lab]

Hi KFIR, I tried to run in windows but fail. I says:

(python35) C:\Users\Dell\Desktop\neural_best_buddies>python main.py --datarootA ./images/original_A.png --datarootB ./images/original_B.png --name lion_cat --k_final 10 ------------ Options ------------- batchSize: 1 beta1: 0.5 border_size: 7 convergence_threshold: 0.001 datarootA: ./images/original_A.png datarootB: ./images/original_B.png fast: False gamma: 1 gpu_ids: [0] imageSize: 224 input_nc: 3 k_final: 10 k_per_level: inf lr: 0.05 name: lion_cat niter_decay: 100 results_dir: ./results save_path: None tau: 0.05 -------------- End ---------------- D:\Anaconda3\envs\python35\lib\site-packages\torchvision\transforms\transforms.py:188: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead. "please use transforms.Resize instead.") Saving original images... Starting algorithm... Finding best-buddies for the 5-th level Drawing correspondence... D:\Anaconda3\envs\python35\lib\site-packages\torch\nn\functional.py:52: UserWarning: size_average and reduce args will be deprecated, please use reduction='elementwise_mean' instead. warnings.warn(warning.format(ret)) D:\Anaconda3\envs\python35\lib\site-packages\torch\nn\modules\upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.Upsampling is deprecated. Use nn.functional.interpolate instead.") Finding best-buddies for the 4-th level Drawing correspondence... Finding best-buddies for the 3-th level Drawing correspondence... Finding best-buddies for the 2-th level Drawing correspondence... Finding best-buddies for the 1-th level Drawing correspondence... No. of correspondence: 160 Calculating K-means... ### Traceback (most recent call last): File "main.py", line 19, in mls.run_MLS_in_folder(root_folder=save_dir) File "C:\Users\Dell\Desktop\neural_best_buddies\util\MLS.py", line 182, in run_MLS_in_folder warp_AtoB, vxy_AtoB = mls_util.run_MLS(img_A, points_A, points_B) File "C:\Users\Dell\Desktop\neural_best_buddies\util\MLS.py", line 168, in run_MLS warp_image, vxy = self.warp_MLS(img, points_start, points_end) File "C:\Users\Dell\Desktop\neural_best_buddies\util\MLS.py", line 141, in warp_MLS warpped_image, vxy = self.mlsd_2d_warp(image, mlsd, points_end, grid_x, grid_y) File "C:\Users\Dell\Desktop\neural_best_buddies\util\MLS.py", line 133, in mlsd_2d_warp warped_image[x, y] = self.bilinear_interp(source_x, source_y, image) File "C:\Users\Dell\Desktop\neural_best_buddies\util\MLS.py", line 43, in bilinear_interp + a * b * image[x_c, y_c] IndexError: index -297 is out of bounds for axis 0 with size 284

I don't know why x_c or y_c is a negative number. Could you please give me some idea? Must I run this code in Linux or macOS instead of Windows?

Best Regard, Jiajing Chan.

[stnoh]

I found that this error came from line 134 in MLS.py, when source_x < 0 or source_y <0. My pull request #16 contains a simple fix for this issue.