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When using test_lr_images it should give back the wanted resolution:
Ex. if i trained 80x80 to 320x320 i should get back 320x320 not a plt.figsize of 640x480 I switched the commented code for the 2 lines and imprted
from PIL import Image
for index in range(examples): im = Image.fromarray(generated_image[index]) im.save(output_dir + 'high_res_result_image_%d.png' % index) """ #plt.figure(figsize=figsize) plt.imshow(generated_image[index], interpolation='nearest') plt.axis('off') plt.tight_layout() plt.savefig(output_dir + 'high_res_result_image_%d.png' % index) #plt.show() """'
The text was updated successfully, but these errors were encountered:
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When using test_lr_images it should give back the wanted resolution:
Ex. if i trained 80x80 to 320x320 i should get back 320x320 not a plt.figsize of 640x480
I switched the commented code for the 2 lines and imprted
The text was updated successfully, but these errors were encountered: