Relax dependency pins: torch<2.11, opencv-python-headless, remove duplicate opencv from viz extra - #38
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… extra - torch cap widened from <2.5 to <2.11 (torchvision <0.20 -> <0.26): covers the whole CUDA 12 line. torch 2.11+ ships CUDA 13 wheels by default, which need an R580+ driver; on older drivers the install succeeds but cuda.is_available() is False. Verified torch 2.10.0+cu128 locally: full test suite passes and Human3.6M eval is identical to torch 2.4.1 (MPJPE 49.08 / P-MPJPE 38.89). Follows the discussion in #36. - opencv-python -> opencv-python-headless. FMPose3D uses no HighGUI calls, and the headless build avoids pulling both cv2 variants when installed alongside DeepLabCut. Also drops the duplicate opencv-python from the viz extra. Closes #37. - Add Xiaohang Yu's email to authors.
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Follow-up to #36.
<2.5→<2.11(torchvision<0.20→<0.26): covers the wholeCUDA 12 line. torch 2.11+ ships CUDA 13 wheels by default, which need an R580+
driver; on older drivers the install succeeds but
cuda.is_available()is False.Verified torch 2.10 locally: full test suite passes and Human3.6M eval is
identical to torch 2.4.1.
opencv-python→opencv-python-headless: FMPose3D has no HighGUI calls, sothe headless build is enough. DeepLabCut already depends on the headless variant;
with both projects on the same package,
deeplabcut[fmpose3d]no longer installstwo conflicting copies of
cv2(see Dependency alignment with DeepLabCut: opencv-python-headless and NumPy 2 #37).Closes #37.