apps/go-darknet
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makefile and minor

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This commit is contained in:
Dimitrii Lopanov
2020-10-16 10:15:18 +03:00
parent c9bbd3eee4
commit e0a6735667
2 changed files with 141 additions and 95 deletions
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55
Makefile Normal file
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.ONESHELL:
.PHONY: download build clean
# Latest battletested AlexeyAB version of Darknet commit
LATEST_COMMIT?=d65909fbea471d06e52a2e4a41132380dc2edaa6
# Temporary folder for building Darknet
TMP_DIR?=/tmp/
# Download AlexeyAB version of Darknet
download:
rm -rf $(TMP_DIR)install_darknet
mkdir $(TMP_DIR)install_darknet
git clone https://github.com/AlexeyAB/darknet.git $(TMP_DIR)install_darknet
cd $(TMP_DIR)install_darknet
git checkout $(LATEST_COMMIT)
cd -
# Build AlexeyAB version of Darknet for usage with CPU only.
build:
cd $(TMP_DIR)install_darknet
sed -i -e 's/GPU=1/GPU=0/g' Makefile
sed -i -e 's/CUDNN=1/CUDNN=0/g' Makefile
sed -i -e 's/LIBSO=0/LIBSO=1/g' Makefile
$(MAKE) -j $(shell nproc --all)
$(MAKE) preinstall
cd -
# Build AlexeyAB version of Darknet for usage with both CPU and GPU (CUDA by NVIDIA).
build_gpu:
cd $(TMP_DIR)install_darknet
sed -i -e 's/GPU=0/GPU=1/g' Makefile
sed -i -e 's/CUDNN=0/CUDNN=1/g' Makefile
sed -i -e 's/LIBSO=0/LIBSO=1/g' Makefile
$(MAKE) -j $(shell nproc --all)
$(MAKE) preinstall
cd -
# Install system wide.
sudo_install:
cd $(TMP_DIR)install_darknet
sudo cp libdarknet.so /usr/lib/libdarknet.so
sudo cp include/darknet.h /usr/include/darknet.h
sudo ldconfig
cd -
# Cleanup temporary files for building process
clean:
rm -rf $(TMP_DIR)install_darknet
# Do every step for CPU-based only build.
install: download build sudo_install clean
# Do every step for both CPU and GPU-based build.
install_gpu: download build_gpu sudo_install clean

39
README.md
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[![Go Report Card](https://goreportcard.com/badge/github.com/LdDl/go-darknet)](https://goreportcard.com/report/github.com/LdDl/go-darknet)
[![GitHub tag](https://img.shields.io/github/tag/LdDl/go-darknet.svg)](https://github.com/LdDl/go-darknet/releases)
# go-darknet: Go bindings for Darknet (Yolo V4, Yolo V3)
### go-darknet is a Go package, which uses Cgo to enable Go applications to use YOLO V4/V3 in [Darknet].
@@ -23,29 +22,20 @@
## Requirements
For proper codebase please use fork of [darknet](https://github.com/AlexeyAB/darknet). Latest commit I've tested [here](https://github.com/AlexeyAB/darknet/commit/d65909fbea471d06e52a2e4a41132380dc2edaa6)
You need to install fork of [darknet](https://github.com/AlexeyAB/darknet). Latest commit I've tested is [here](https://github.com/AlexeyAB/darknet/commit/d65909fbea471d06e52a2e4a41132380dc2edaa6)
In order to use go-darknet, `libdarknet.so` should be available in one of
the following locations:
Use provided [Makefile](Makefile).
* /usr/lib
* /usr/local/lib
Also, [darknet.h] should be available in one of the following locations:
* /usr/include
* /usr/local/include
To achieve it, after Darknet compilation (via make) execute following command:
* For CPU-based instalattion:
```shell
# Copy *.so to /usr/lib + /usr/include (or /usr/local/lib + /usr/local/include)
sudo cp libdarknet.so /usr/lib/libdarknet.so && sudo cp include/darknet.h /usr/include/darknet.h
# sudo cp libdarknet.so /usr/local/lib/libdarknet.so && sudo cp include/darknet.h /usr/local/include/darknet.h
make install
```
Note: do not forget to set LIBSO=1 in Makefile before executing 'make':
```Makefile
LIBSO=1
* For both CPU and GPU-based instalattion:
```shell
make install_gpu
```
Note: If you want to have GPU-acceleration before running command above install [CUDA](https://developer.nvidia.com/cuda-downloads) and [cuDNN](https://developer.nvidia.com/cudnn) (Latest CUDA version I've tested is [10.2](https://developer.nvidia.com/cuda-10.2-download-archive) and cuDNN is [7.6.5](https://developer.nvidia.com/rdp/cudnn-archive#a-collapse765-102))
## Installation
```shell
@@ -58,19 +48,19 @@ Example Go program is provided in the [example] directory. Please refer to the c
Building and running program:
Navigate to [example] folder
* Navigate to [example] folder
```shell
cd $GOPATH/github.com/LdDl/go-darknet/example
```
Download dataset (sample of image, coco.names, yolov4.cfg (or v3), yolov4.weights(or v3)).
* Download dataset (sample of image, coco.names, yolov4.cfg (or v3), yolov4.weights(or v3)).
```shell
#for yolo v4
./download_data.sh
#for yolo v3
./download_data_v3.sh
```
Note: you don't need *coco.data* file anymore, because sh-script above does insert *coco.names* into 'names' field in *yolov4.cfg* file (so AlexeyAB's fork can deal with it properly)
* Note: you don't need *coco.data* file anymore, because sh-script above does insert *coco.names* into 'names' field in *yolov4.cfg* file (so AlexeyAB's fork can deal with it properly)
So last rows in yolov4.cfg file will look like:
```bash
......
@@ -82,7 +72,8 @@ beta_nms=0.6
names = coco.names # this is path to coco.names file
```
Also do not forget change batch and subdivisions sizes from:
* Also do not forget change batch and subdivisions sizes from:
```shell
batch=64
subdivisions=8
@@ -95,7 +86,7 @@ subdivisions=1
It will reduce amount of VRAM used for detector test.
Build and run program
* Build and run program
Yolo V4:
```shell
go build main.go && ./main --configFile=yolov4.cfg --weightsFile=yolov4.weights --imageFile=sample.jpg