Comments (1)
Package pillow conflicts for:
torchvision==0.2.1=py37_1 -> pillow[version='>=4.1.1']
pillow==5.2.0=py37heded4f4_0
Package pyparsing conflicts for:
pyparsing==2.2.0=py37_1
matplotlib==3.0.2=py37h5429711_0 -> pyparsing
Package libopus conflicts for:
ffmpeg==4.0=hcdf2ecd_0 -> libopus[version='>=1.2.1,<2.0a0']
libopus==1.2.1=hb9ed12e_0
Package llvm-openmp conflicts for:
pytorch==1.0.0=py3.7_cuda10.0.130_cudnn7.4.1_1 -> mkl[version='>=2018'] -> llvm-openmp[version='>=10.0.0|>=9.0.1']
blas==1.0=mkl -> mkl -> llvm-openmp[version='>=10.0.0|>=9.0.1']
Package freeglut conflicts for:
freeglut==3.0.0=hf484d3e_5
jasper==2.0.14=h07fcdf6_1 -> freeglut[version='>=3.0.0,<4.0a0']
Package libglu conflicts for:
jasper==2.0.14=h07fcdf6_1 -> libglu[version='>=9.0.0,<10.0a0']
libglu==9.0.0=hf484d3e_1
Package pyqt conflicts for:
pyqt==5.9.2=py37h05f1152_2
matplotlib==3.0.2=py37h5429711_0 -> pyqt=5.9The following specifications were found to be incompatible with your CUDA driver:
- feature:/linux-64::__cuda==10.0=0
- feature:|@/linux-64::__cuda==10.0=0
Your installed CUDA driver is: 10.0
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Related Issues (20)
- Using a data set with only one category, Loss dropped to 0.003, but when testing, ap = -1 HOT 1
- AttributeError: 'builtin_function_or_method' object has no attribute 'view' HOT 1
- ModuleNotFoundError: No module named 'core' HOT 3
- Has anyone use another backbone networks to test the performance?
- About "add downsampling lyaer before the hourglass module and remove one in hourglass modue" HOT 1
- train error
- When I testing my own data, occur No module named 'test.xxx'
- The network architecture of CornerNet-Saccade
- Duplicated boxes during soft_nms HOT 1
- some training issue HOT 1
- some questions about the structure of cornerNet-saccade HOT 1
- when run the demo.py, the program is stuck
- 0%| | 0/90000 [00:00<?, ?it/s]段错误(吐核)
- ImportError undefined symbol: _ZNSt19basic_ostringstreamIcSt11char_traitsIcESaIcEEC1Ev HOT 1
- When I train the model on my own dataset, I met IndexError in cornernet_saccade.py HOT 1
- error while tarining on my new dataset which has same COCO format HOT 1
- A small running error
- About the software requirements HOT 1
- [W Resize.cpp:19] Warning: An output with one or more elements was resized since it had shape [16263], which does not match the required output shape [14926].This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output) HOT 1
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