update on line no. 34 for resizing the input (new image) #10
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As we drag and drop new image with different dimension, if the input image is not resized it will give error "value error" of expected shape and found shape.
jainharshit3107
changed the title
JKS46
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Sep 13, 2022
| @@ -31,7 +31,7 @@ async def ping(): | |||
| return "Hello, I am alive" | |||
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| def read_file_as_image(data) -> np.ndarray: | |||
| image = np.array(Image.open(BytesIO(data))) | |||
| image = np.array(Image.open(BytesIO(data)).resize(256, 256)) | |||
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image = np.array(Image.open(BytesIO(data)).resize((256,256)))
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IDK why but when I tried, resize worked only with double brackets around 256,256
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.resize() accepts a tuple. Therefore we need to provide double brackets. One for function call and one for the tuple.
Example:
imsize = (256,256)
#now call the function with following
im.resize(imsize) # here imsize already has brackets in previous line. So its good to separate the code for better understanding.
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Yes, @jainharshit3107 You have to call resize method the image variable in the main.py file in api folder as @JKS46 showed.
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As we drag and drop new image with different dimension, if the input image is not resized it will give error "value error" of expected shape and found shape.