Closed srinadhu closed 4 years ago
There is already in test.py:
with torch.no_grad():
img = Variable(img[None,:,:,:]).cuda()
pred_map = net.test_forward(img)
pred_map = pred_map.cpu().data.numpy()[0,0,:,:]
pred_map = pred_map/np.max(pred_map+1e-20)
pred_frame = plt.gca()
plt.imshow(pred_map, 'jet')
pred_frame.axes.get_yaxis().set_visible(False)
pred_frame.axes.get_xaxis().set_visible(False)
pred_frame.spines['top'].set_visible(False)
pred_frame.spines['bottom'].set_visible(False)
pred_frame.spines['left'].set_visible(False)
pred_frame.spines['right'].set_visible(False)
I already figured it out in my code but thanks anyway.
Hello @gjy3035 ,
Can you please provide density map visualization code as well, I am having some trouble with it?
Thanks and Regards.