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Update evaluate_stereo.py

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Gangwei Xu 2023-03-17 11:12:32 +08:00 committed by GitHub
parent d058249595
commit 64539dc87f
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1 changed files with 4 additions and 16 deletions
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IGEV-Stereo/evaluate_stereo.py
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@ -36,10 +36,7 @@ def validate_eth3d(model, iters=32, mixed_prec=False):
image1, image2 = padder.pad(image1, image2) image1, image2 = padder.pad(image1, image2)
with autocast(enabled=mixed_prec): with autocast(enabled=mixed_prec):
if iters == 0:
flow_pr = model(image1, image2, iters=iters, test_mode=True) flow_pr = model(image1, image2, iters=iters, test_mode=True)
else:
_, flow_pr = model(image1, image2, iters=iters, test_mode=True)
flow_pr = padder.unpad(flow_pr.float()).cpu().squeeze(0) flow_pr = padder.unpad(flow_pr.float()).cpu().squeeze(0)
assert flow_pr.shape == flow_gt.shape, (flow_pr.shape, flow_gt.shape) assert flow_pr.shape == flow_gt.shape, (flow_pr.shape, flow_gt.shape)
epe = torch.sum((flow_pr - flow_gt)**2, dim=0).sqrt() epe = torch.sum((flow_pr - flow_gt)**2, dim=0).sqrt()
@ -88,10 +85,7 @@ def validate_kitti(model, iters=32, mixed_prec=False):
with autocast(enabled=mixed_prec): with autocast(enabled=mixed_prec):
start = time.time() start = time.time()
if iters == 0:
flow_pr = model(image1, image2, iters=iters, test_mode=True) flow_pr = model(image1, image2, iters=iters, test_mode=True)
else:
_, flow_pr = model(image1, image2, iters=iters, test_mode=True)
end = time.time() end = time.time()
if val_id > 50: if val_id > 50:
@ -142,9 +136,6 @@ def validate_sceneflow(model, iters=32, mixed_prec=False):
image1, image2 = padder.pad(image1, image2) image1, image2 = padder.pad(image1, image2)
with autocast(enabled=mixed_prec): with autocast(enabled=mixed_prec):
if iters == 0:
flow_pr = model(image1, image2, iters=iters, test_mode=True)
else:
flow_pr = model(image1, image2, iters=iters, test_mode=True) flow_pr = model(image1, image2, iters=iters, test_mode=True)
flow_pr = padder.unpad(flow_pr).cpu().squeeze(0) flow_pr = padder.unpad(flow_pr).cpu().squeeze(0)
assert flow_pr.shape == flow_gt.shape, (flow_pr.shape, flow_gt.shape) assert flow_pr.shape == flow_gt.shape, (flow_pr.shape, flow_gt.shape)
@ -194,10 +185,7 @@ def validate_middlebury(model, iters=32, split='F', mixed_prec=False):
image1, image2 = padder.pad(image1, image2) image1, image2 = padder.pad(image1, image2)
with autocast(enabled=mixed_prec): with autocast(enabled=mixed_prec):
if iters == 0:
flow_pr = model(image1, image2, iters=iters, test_mode=True) flow_pr = model(image1, image2, iters=iters, test_mode=True)
else:
_, flow_pr = model(image1, image2, iters=iters, test_mode=True)
flow_pr = padder.unpad(flow_pr).cpu().squeeze(0) flow_pr = padder.unpad(flow_pr).cpu().squeeze(0)
assert flow_pr.shape == flow_gt.shape, (flow_pr.shape, flow_gt.shape) assert flow_pr.shape == flow_gt.shape, (flow_pr.shape, flow_gt.shape)