将出错的函数变量__pyx_t_5numpy_int32_t*,改成int*(见红色字体)。接着,为了保证gpu_nms.cpp不再由gpu_nms.pyx自动生成,需要将setup.py中ext_modules数组下的nms/gpu_nms.pyx改为nms/gpu_nms.cpp。 error: _nms((&(__Pyx_BufPtrStrided1d(__pyx_t_5numpy_int32_t *, __pyx_pybuffernd_keep....
参数nms_overlap_thresh:交并比阈值,用于nms 参数device_id:GPU设备号 */ void _nms(int* keep_out, int* num_out, const float* boxes_host, int boxes_num, int boxes_dim, float nms_overlap_thresh, int device_id) { _set_device(device_id); //设置相应设备 float* boxes_dev = NULL; unsigned...
# 需要导入模块: from model.config import cfg [as 别名]# 或者: from model.config.cfg importUSE_GPU_NMS[as 别名]defnms(dets, thresh, force_cpu=False):"""Dispatch to either CPU or GPU NMS implementations."""ifdets.shape[0] ==0:return[]ifcfg.USE_GPU_NMSandnotforce_cpu:returngpu_nms(...
# 需要导入模块: from model.nms importnms_gpu[as 别名]# 或者: from model.nms.nms_gpuimportnms_gpu[as 别名]defnms(dets, thresh, force_cpu=False):"""Dispatch to either CPU or GPU NMS implementations."""ifdets.shape[0] ==0:return[]# ---numpy version---# original: return gpu_nms(...
GPU with Compute Capability 3.2 or greater * Build instructions: 1. Set the GPU_ARCH and SM_ARCH variables in the Makefile according to the underlying NVIDIA GPU architecture of your computer. For further details, please refer to our GitHub Wiki page:https://github.com/hertasecurity/gpu-nms...
ImportError: ……/gpu_nms.so: undefined symbol: _Py_ZeroStruct 出现此问题一般是由于python版本不一致造成的 可以重新安装python解决 sudo apt-get install python3-dev 或者如果
from nms.nms import oks_nms File "/home/sunbin/my_project/simple_baselines/human-pose-estimation/pose_estimation/../lib/nms/nms.py", line 14, in from .gpu_nms import gpu_nms Sign up for freeto join this conversation on GitHub.Already have an account?Sign in to comment...
1.领域:FPGA,NMS归一化最小和LDPC译码算法 2.内容:【提供操作视频】vivado2019.2平台中纯verilog开发的NMS归一化最小和LDPC译码实现,含testbench 码长为9216 3.用处:用于NMS归一化最小和LDPC译码算法编程学习 4.指向人群:本科,硕士,博士等教研使用 5.运行注意事项: 使用vivado2019.2或者更高版本测试,用软件打开FPGA...
我也遇到了这个问题，木有解决，目测是因为我是win7系统，代码是linux
在按照官方的安装教程进行mmdetection安装的时候,出现了一些问题。我的环境信息如下: 最后报错信息如下: 从MMCV Compiler这儿来看,可以看见MMCV CUDA Compiler: not available。 原因是,我使用的mmcv-full的脚本是: pip install mmcv-full -fhttps://download.openmmlab.com/mmcv/dist/cu102/torch1.9.1/index.html ...