Related Issues (20)
- yolov8.cpp模型预测速度相比以往差了10倍不止 HOT 3
- 模型的前后处理部分,可以通过ncnn::set_omp_num_threads(1);控制在单核上吗 HOT 5
- yolov5lite部署,内存占用很高,是正常的吗
- add的广播机制输出shape问题 HOT 2
- interp bug 初始化问题
- pnnx converting model has permute layer missing
- cmake .. 命令运行不了 HOT 1
- 如果模型全输入1或者输入随机数据 ncnn输出和onnx差别不大 但是输入图片ncnn和onnx的输出有差别很大 onnx是正常的 HOT 1
- make出错,疑似是protobuf的问题,Could not make proto path relative HOT 4
- ncnn::destroy_gpu_instance() not working as previous version anymore
- ncnnoptimize.exe 经常崩溃 HOT 1
- Mac build pnnx fail HOT 2
- Cortex-A510 android 64bit系统,运行benchncnn crash HOT 1
- pnnx转onnx
- pnnx转onnx模型会有一个open failed
- ncnn produce wrong result HOT 1
- CPU Performing better than GPU for Yolo Predictions
- 16k pagesize for android
- NCNN模型与转换前的Pytorch(pt)模型预测结果有差异 HOT 2
- Layers Missing
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