Update test_model.py

test_model.py

@@ -46,10 +46,12 @@ if __name__ == '__main__':
 	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")
 
+	in_h, in_w = left_img.shape[:2]
+
 	# Resize image in case the GPU memory overflows
-	eval_h, eval_w = (240,426)
-	imgL = cv2.resize(left, (eval_w, eval_h), interpolation=cv2.INTER_LINEAR)
-	imgR = cv2.resize(right, (eval_w, eval_h), interpolation=cv2.INTER_LINEAR)
+	eval_h, eval_w = (1024//4,1536//4)
+	imgL = cv2.resize(left_img, (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"
 
@@ -58,15 +60,18 @@ if __name__ == '__main__':
 	model.to(device)
 	model.eval()
 
-	disp = inference(imgL, imgR, model, n_iter=20)
-	disp_vis = (disp - disp.min()) / (disp.max() - disp.min()) * 255.0
+	pred = inference(imgL, imgR, model, n_iter=20)
+
+	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 = 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))
 	cv2.imshow("output", combined_img)
-	cv2.imwrite("output.jpg", combined_img)
+	cv2.imwrite("output.jpg", disp_vis)
 	cv2.waitKey(0)