I am getting this error
"RuntimeError: can't convert a given np.ndarray to a tensor - it has an invalid type. The only supported types are: double, float, int64, int32, and uint8."
even though the ndarray is an array of 249 ndarrays of shape (512x384x3) with dtype=uint8.
One interesting thing is np.array(images).shape returns (249,) not the entire shape I am expecting.
The images are of varying size so I read in each one and create a thumbnail of standard sizing using PIL thumbnail method. Then i create an ndarray and add it to the images list. From there is try and create a Tensor.
size = 512, 512
# Read in image using imread
images = 
for typePath in tqdm_notebook(glob(path + "/*"), desc='Type'):
count = 0
for imgPath in tqdm_notebook(glob(typePath + "/*"), desc='Image'):
img = Image.open(imgPath)