Files
openvision/go/examples/hand/main.go

147 lines
3.3 KiB
Go

package main
import (
"bytes"
"fmt"
"image"
"image/jpeg"
"log"
"os"
"os/user"
"path/filepath"
"strings"
"github.com/bububa/openvision/go/common"
"github.com/bububa/openvision/go/hand/detecter"
handdrawer "github.com/bububa/openvision/go/hand/drawer"
"github.com/bububa/openvision/go/hand/pose"
)
func main() {
wd, _ := os.Getwd()
dataPath := cleanPath(wd, "~/go/src/github.com/bububa/openvision/data")
imgPath := filepath.Join(dataPath, "./images")
modelPath := filepath.Join(dataPath, "./models")
common.CreateGPUInstance()
defer common.DestroyGPUInstance()
cpuCores := common.GetBigCPUCount()
common.SetOMPThreads(cpuCores)
log.Printf("CPU big cores:%d\n", cpuCores)
estimator := handpose(modelPath)
defer estimator.Destroy()
common.SetEstimatorThreads(estimator, cpuCores)
for idx, d := range []detecter.Detecter{
yolox(modelPath),
nanodet(modelPath),
} {
defer d.Destroy()
common.SetEstimatorThreads(d, cpuCores)
detect(d, estimator, imgPath, "hand1.jpg", idx)
}
}
func yolox(modelPath string) detecter.Detecter {
modelPath = filepath.Join(modelPath, "yolox-hand/relu")
d := detecter.NewYolox()
if err := d.LoadModel(modelPath); err != nil {
log.Fatalln(err)
}
return d
}
func nanodet(modelPath string) detecter.Detecter {
modelPath = filepath.Join(modelPath, "nanodet-hand")
d := detecter.NewNanodet()
if err := d.LoadModel(modelPath); err != nil {
log.Fatalln(err)
}
return d
}
func handpose(modelPath string) pose.Estimator {
modelPath = filepath.Join(modelPath, "handpose")
d := pose.NewHandPoseEstimator()
if err := d.LoadModel(modelPath); err != nil {
log.Fatalln(err)
}
return d
}
func detect(d detecter.Detecter, e pose.Estimator, imgPath string, filename string, idx int) {
inPath := filepath.Join(imgPath, filename)
imgSrc, err := loadImage(inPath)
if err != nil {
log.Fatalln("load image failed,", err)
}
img := common.NewImage(imgSrc)
rois, err := d.Detect(img)
if err != nil {
log.Fatalln(err)
}
log.Printf("%+v\n", rois)
for idx, roi := range rois {
keypoints, err := e.Detect(img, roi.Rect)
if err != nil {
log.Fatalln(err)
continue
}
pts := make([]common.Keypoint, 0, len(keypoints))
for _, pt := range keypoints {
pts = append(pts, common.Keypoint{
Point: pt,
})
}
rois[idx].Keypoints = pts
log.Printf("keypoints: %d\n", len(keypoints))
}
outPath := filepath.Join(imgPath, "./results", fmt.Sprintf("%d-hand-%s", idx, filename))
drawer := handdrawer.New()
out := drawer.Draw(img, rois, true)
if err := saveImage(out, outPath); err != nil {
log.Fatalln(err)
}
}
func loadImage(filePath string) (image.Image, error) {
fn, err := os.Open(filePath)
if err != nil {
return nil, err
}
defer fn.Close()
img, _, err := image.Decode(fn)
if err != nil {
return nil, err
}
return img, nil
}
func saveImage(img image.Image, filePath string) error {
buf := new(bytes.Buffer)
if err := jpeg.Encode(buf, img, nil); err != nil {
return err
}
fn, err := os.Create(filePath)
if err != nil {
return err
}
defer fn.Close()
fn.Write(buf.Bytes())
return nil
}
func cleanPath(wd string, path string) string {
usr, _ := user.Current()
dir := usr.HomeDir
if path == "~" {
return dir
} else if strings.HasPrefix(path, "~/") {
return filepath.Join(dir, path[2:])
}
return filepath.Join(wd, path)
}