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devolearn: embryo_generator_model: fix model_url #29

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Merged
Mayukhdeb merged 2 commits into from
Jan 12, 2021
Merged

devolearn: embryo_generator_model: fix model_url #29

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edd4b97
devolearn: edit comments
Mainakdeb Jan 12, 2021
259539f
devolearn: change model_url
Mainakdeb Jan 12, 2021
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10 changes: 5 additions & 5 deletions devolearn/embryo_generator_model/embryo_generator_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,7 @@ class embryo_generator_model():
def __init__(self, mode = "cpu"):

"""
ngf = size of output image of the GAN
ngf = size of feature maps in generator
nz = size of latent space noise (latent vector)
nc = number of color channels of the output image
Do not tweak these unless you're changing the Generator() with a new model with a different architecture.
Expand All @@ -79,11 +79,11 @@ def __init__(self, mode = "cpu"):
self.nz = 128
self.nc = 1
self.generator= Generator(self.ngf, self.nz, self.nc)
self.model_url = "https://raw.githubusercontent.com/Mainakdeb/devolearn/master/devolearn/embryo_generator_model/embryo_generator.pth"
self.model_url = "https://raw.githubusercontent.com/DevoLearn/devolearn/master/devolearn/embryo_generator_model/embryo_generator.pth"
self.model_name = "embryo_generator.pth"
self.model_dir = os.path.dirname(__file__)
# print("at : ", os.path.dirname(__file__))
print("Searching here.. ",self.model_dir + "/" + self.model_name)
#print("Searching here.. ",self.model_dir + "/" + self.model_name)

try:
# print("model already downloaded, loading model...")
Expand Down Expand Up @@ -114,7 +114,7 @@ def generate(self, image_size = (700,500)):
outputs{
1 channel image as an <np.array>
}
The native size of the GAN's output is 128*128, and then it resizes the
The native size of the GAN's output is 256*256, and then it resizes the
generated image to the desired size.
"""
with torch.no_grad():
Expand Down Expand Up @@ -149,7 +149,7 @@ def generate_n_images(self, n = 3, foldername = "generated_images", image_size =

for i in tqdm(range(n), desc = "generating images :"):
filename = foldername + "/" + str(i) + ".jpg"
gen_image = self.generate() ## 2d numpy arreay
gen_image = self.generate() ## 2d numpy array
cv2.imwrite(filename, gen_image)

print ("Saved ", n, " images in", foldername)