Martin Boyanov mboyanov
mboyanov
/ perfect.csv
Created
September 3, 2018 15:07
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| closest | translated | filtered | ||
|---|---|---|---|---|
| 0 | ('ideal', 0.8098761439323425) | ('awful', 0.6842296123504639) | ('awful', 0.6842296123504639) | |
| 1 | ('great', 0.7407215237617493) | ('terrible', 0.6696542501449585) | ('terrible', 0.6696542501449585) | |
| 2 | ('perfectly', 0.737203061580658) | ('bad', 0.662799596786499) | ('bad', 0.662799596786499) | |
| 3 | ('good', 0.729468822479248) | ('horrible', 0.6594321727752686) | ('horrible', 0.6594321727752686) | |
| 4 | ('wonderful', 0.7194229364395142) | ('ugly', 0.6511248350143433) | ('ugly', 0.6511248350143433) | |
| 5 | ('excellent', 0.7181068658828735) | ('ideal', 0.6327192187309265) | ('thing', 0.6208710670471191) | |
| 6 | ('beautiful', 0.7177813649177551) | ('thing', 0.6208710670471191) | ('kind', 0.6105346083641052) | |
| 7 | ('fantastic', 0.7143319845199585) | ('kind', 0.6105346083641052) | ('worst', 0.609749436378479) | |
| 8 | ('nice', 0.7134328484535217) | ('worst', 0.609749436378479) |
mboyanov
/ alpha_copy.py
Created
January 30, 2018 18:02
Utility to copy the alpha channel from a 4d numpy image to a 3d numpy image
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| def copy_alpha(source, target): | |
| new_shape = np.copy(target.shape) | |
| new_shape[2] = 4 | |
| fourd = np.zeros(new_shape, dtype=np.uint8) | |
| fourd[:, :, 3] = source[:, :, 3] # copy the alpha channel | |
| fourd[:, :, :3] = target[:, :, :3] #copy the content | |
| return fourd |