Cpt.Captain/CREStereo-pytorch-nxt
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Update test_model.py

Browse Source
This commit is contained in:
Ibai 2022-04-08 12:21:56 +09:00
parent 7e43c65e01
commit 66127ec2aa
1 changed files with 12 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
test_model.py
View File

@ -46,10 +46,12 @@ if __name__ == '__main__':
left_img = imread_from_url("https://raw.githubusercontent.com/megvii-research/CREStereo/master/img/test/left.png") left_img = imread_from_url("https://raw.githubusercontent.com/megvii-research/CREStereo/master/img/test/left.png")
right_img = imread_from_url("https://raw.githubusercontent.com/megvii-research/CREStereo/master/img/test/right.png") right_img = imread_from_url("https://raw.githubusercontent.com/megvii-research/CREStereo/master/img/test/right.png")
in_h, in_w = left_img.shape[:2]
# Resize image in case the GPU memory overflows # Resize image in case the GPU memory overflows
eval_h, eval_w = (240,426) eval_h, eval_w = (1024//4,1536//4)
imgL = cv2.resize(left, (eval_w, eval_h), interpolation=cv2.INTER_LINEAR) imgL = cv2.resize(left_img, (eval_w, eval_h), interpolation=cv2.INTER_LINEAR)
imgR = cv2.resize(right, (eval_w, eval_h), interpolation=cv2.INTER_LINEAR) imgR = cv2.resize(right_img, (eval_w, eval_h), interpolation=cv2.INTER_LINEAR)
model_path = "models/crestereo_eth3d.pth" model_path = "models/crestereo_eth3d.pth"
@ -58,15 +60,18 @@ if __name__ == '__main__':
model.to(device) model.to(device)
model.eval() model.eval()
disp = inference(imgL, imgR, model, n_iter=20) pred = inference(imgL, imgR, model, n_iter=20)
disp_vis = (disp - disp.min()) / (disp.max() - disp.min()) * 255.0
t = float(in_w) / float(eval_w)
disp = cv2.resize(pred, (in_w, in_h), interpolation=cv2.INTER_LINEAR) * t
disp_vis = (disp - disp.min()) / (256 - disp.min()) * 255.0
disp_vis = disp_vis.astype("uint8") disp_vis = disp_vis.astype("uint8")
disp_vis = cv2.applyColorMap(disp_vis, cv2.COLORMAP_INFERNO) disp_vis = cv2.applyColorMap(disp_vis, cv2.COLORMAP_INFERNO)
left_img = cv2.resize(left_img, disp_vis.shape[1::-1])
combined_img = np.hstack((left_img, disp_vis)) combined_img = np.hstack((left_img, disp_vis))
cv2.imshow("output", combined_img) cv2.imshow("output", combined_img)
cv2.imwrite("output.jpg", combined_img) cv2.imwrite("output.jpg", disp_vis)
cv2.waitKey(0) cv2.waitKey(0)