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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

181
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) [![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) [![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: 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]. ### 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 ## 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 Use provided [Makefile](Makefile).
the following locations:
* /usr/lib * For CPU-based instalattion:
* /usr/local/lib ```shell
make install
```
* 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))
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:
```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
```
Note: do not forget to set LIBSO=1 in Makefile before executing 'make':
```Makefile
LIBSO=1
```
## Installation ## Installation
```shell ```shell
@@ -58,87 +48,88 @@ Example Go program is provided in the [example] directory. Please refer to the c
Building and running program: Building and running program:
Navigate to [example] folder * Navigate to [example] folder
```shell ```shell
cd $GOPATH/github.com/LdDl/go-darknet/example 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 ```shell
#for yolo v4 #for yolo v4
./download_data.sh ./download_data.sh
#for yolo v3 #for yolo v3
./download_data_v3.sh ./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: So last rows in yolov4.cfg file will look like:
```bash ```bash
...... ......
[yolo] [yolo]
..... .....
iou_loss=ciou iou_loss=ciou
nms_kind=greedynms nms_kind=greedynms
beta_nms=0.6 beta_nms=0.6
names = coco.names # this is path to coco.names file names = coco.names # this is path to coco.names file
``` ```
Also do not forget change batch and subdivisions sizes from:
```shell * Also do not forget change batch and subdivisions sizes from:
batch=64 ```shell
subdivisions=8 batch=64
``` subdivisions=8
to ```
```shell to
batch=1 ```shell
subdivisions=1 batch=1
``` subdivisions=1
It will reduce amount of VRAM used for detector test. ```
It will reduce amount of VRAM used for detector test.
Build and run program * Build and run program
Yolo V4: Yolo V4:
```shell ```shell
go build main.go && ./main --configFile=yolov4.cfg --weightsFile=yolov4.weights --imageFile=sample.jpg go build main.go && ./main --configFile=yolov4.cfg --weightsFile=yolov4.weights --imageFile=sample.jpg
``` ```
Output should be something like this: Output should be something like this:
```shell ```shell
traffic light (9): 73.5039% | start point: (238,73) | end point: (251, 106) traffic light (9): 73.5039% | start point: (238,73) | end point: (251, 106)
truck (7): 96.6401% | start point: (95,79) | end point: (233, 287) truck (7): 96.6401% | start point: (95,79) | end point: (233, 287)
truck (7): 96.4774% | start point: (662,158) | end point: (800, 321) truck (7): 96.4774% | start point: (662,158) | end point: (800, 321)
truck (7): 96.1841% | start point: (0,77) | end point: (86, 333) truck (7): 96.1841% | start point: (0,77) | end point: (86, 333)
truck (7): 46.8695% | start point: (434,173) | end point: (559, 216) truck (7): 46.8695% | start point: (434,173) | end point: (559, 216)
car (2): 99.7370% | start point: (512,188) | end point: (741, 329) car (2): 99.7370% | start point: (512,188) | end point: (741, 329)
car (2): 99.2533% | start point: (260,191) | end point: (422, 322) car (2): 99.2533% | start point: (260,191) | end point: (422, 322)
car (2): 99.0333% | start point: (425,201) | end point: (547, 309) car (2): 99.0333% | start point: (425,201) | end point: (547, 309)
car (2): 83.3919% | start point: (386,210) | end point: (437, 287) car (2): 83.3919% | start point: (386,210) | end point: (437, 287)
car (2): 75.8621% | start point: (73,199) | end point: (102, 274) car (2): 75.8621% | start point: (73,199) | end point: (102, 274)
car (2): 39.1925% | start point: (386,206) | end point: (442, 240) car (2): 39.1925% | start point: (386,206) | end point: (442, 240)
bicycle (1): 76.3121% | start point: (189,298) | end point: (253, 402) bicycle (1): 76.3121% | start point: (189,298) | end point: (253, 402)
person (0): 97.7213% | start point: (141,129) | end point: (283, 362) person (0): 97.7213% | start point: (141,129) | end point: (283, 362)
``` ```
Yolo V3: Yolo V3:
``` ```
go build main.go && ./main --configFile=yolov3.cfg --weightsFile=yolov3.weights --imageFile=sample.jpg go build main.go && ./main --configFile=yolov3.cfg --weightsFile=yolov3.weights --imageFile=sample.jpg
``` ```
Output should be something like this: Output should be something like this:
```shell ```shell
truck (7): 49.5197% | start point: (0,136) | end point: (85, 311) truck (7): 49.5197% | start point: (0,136) | end point: (85, 311)
car (2): 36.3747% | start point: (95,152) | end point: (186, 283) car (2): 36.3747% | start point: (95,152) | end point: (186, 283)
truck (7): 48.4384% | start point: (95,152) | end point: (186, 283) truck (7): 48.4384% | start point: (95,152) | end point: (186, 283)
truck (7): 45.6590% | start point: (694,178) | end point: (798, 310) truck (7): 45.6590% | start point: (694,178) | end point: (798, 310)
car (2): 76.8379% | start point: (1,145) | end point: (84, 324) car (2): 76.8379% | start point: (1,145) | end point: (84, 324)
truck (7): 25.5731% | start point: (107,89) | end point: (215, 263) truck (7): 25.5731% | start point: (107,89) | end point: (215, 263)
car (2): 99.8783% | start point: (511,185) | end point: (748, 328) car (2): 99.8783% | start point: (511,185) | end point: (748, 328)
car (2): 99.8194% | start point: (261,189) | end point: (427, 322) car (2): 99.8194% | start point: (261,189) | end point: (427, 322)
car (2): 99.6408% | start point: (426,197) | end point: (539, 311) car (2): 99.6408% | start point: (426,197) | end point: (539, 311)
car (2): 74.5610% | start point: (692,186) | end point: (796, 316) car (2): 74.5610% | start point: (692,186) | end point: (796, 316)
car (2): 72.8053% | start point: (388,206) | end point: (437, 276) car (2): 72.8053% | start point: (388,206) | end point: (437, 276)
bicycle (1): 72.2932% | start point: (178,270) | end point: (268, 406) bicycle (1): 72.2932% | start point: (178,270) | end point: (268, 406)
person (0): 97.3026% | start point: (143,135) | end point: (268, 343) person (0): 97.3026% | start point: (143,135) | end point: (268, 343)
``` ```
## Documentation ## Documentation