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Apply make_divisible for ONNX models in Autoshape #10172

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Merged
merged 4 commits into from
Nov 17, 2022
Merged

Apply make_divisible for ONNX models in Autoshape #10172

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5e417c1
Apply make_divisible for onnx models in Autoshape
janus-zheng Nov 16, 2022
867604d
revise indent
janus-zheng Nov 16, 2022
8eebb52
Apply make_divisible to all formats
glenn-jocher Nov 16, 2022
6e1cdf5
Merge branch 'master' into patch-2
glenn-jocher Nov 16, 2022
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2 changes: 1 addition & 1 deletion models/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -694,7 +694,7 @@ def forward(self, ims, size=640, augment=False, profile=False):
g = max(size) / max(s) # gain
shape1.append([int(y * g) for y in s])
ims[i] = im if im.data.contiguous else np.ascontiguousarray(im) # update
shape1 = [make_divisible(x, self.stride) for x in np.array(shape1).max(0)] if self.pt else size # inf shape
shape1 = [make_divisible(x, self.stride) for x in np.array(shape1).max(0)] # inf shape
x = [letterbox(im, shape1, auto=False)[0] for im in ims] # pad
x = np.ascontiguousarray(np.array(x).transpose((0, 3, 1, 2))) # stack and BHWC to BCHW
x = torch.from_numpy(x).to(p.device).type_as(p) / 255 # uint8 to fp16/32
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