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import re
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from django.shortcuts import render
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from django.http import HttpResponse, JsonResponse
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import os
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import subprocess
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from datetime import datetime
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import learn.yolov5.detect as DL
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from pathlib import PosixPath
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import requests, os, json
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import cv2
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import numpy as np
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def adb_shell(cmd):
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result = subprocess.getstatusoutput(cmd)
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return result
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'''改程序执行慢，且因为C++和python在cv2中处理细节不同，返回值并不相同
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def detect_brightness():
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img = cv2.imread("/home/wangchunlin/img_brightness/1.jpeg")
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gray_img= cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
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a=0
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Ma = 0
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hist = np.zeros(256,dtype=int)
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print(hist.dtype)
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h, w = gray_img.shape[:2]
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print(h, w)
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for i in range(h):
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for j in range(w):
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if(float(gray_img[i,j]-128)>128):
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input(">")
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a+=float(gray_img[i,j]-128)
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hist[int(gray_img[i,j])]+=1
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da = a /float(h*w)
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print(da)
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for i in range(256):
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Ma+=abs(i-128-da)*hist[i]
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Ma /= float(h*w)
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print(Ma)
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cast=abs(da)/abs(Ma)
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return cast
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'''
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def upload(request):
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if request.method == 'POST':
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file = request.FILES.get('file') #获取前端上传的文件
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m_model=request.POST.get('model')
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m_class=request.POST.get('class')
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fix = datetime.now().strftime('%Y%m%d%H%M%S%f')+'1' #给文件加前缀防止文件名重复
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#以下用绝对路径存储文件，之前我用相对路径一直写不对
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curPath = os.path.abspath( os.path.dirname( __file__ ) )
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img_path = os.path.abspath(curPath+'/static/upload/'+fix+file.name)
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#返回给前端的图片路径用相对路径，前端用绝对路径反而加载不了图片
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img_path_res = '/static/detected/'+fix+file.name
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print(img_path)
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f = open(img_path,'wb')
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for i in file.chunks():
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f.write(i)
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f.close()
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result = adb_shell("ImageDetect/build/ImageDetect {}".format(img_path))
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if result[0]==0:
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cast = result[1].split("||")[0]
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da = result[1].split("||")[1]
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satu = result[1].split("||")[2]
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CON = result[1].split("||")[3]
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ASM = result[1].split("||")[4]
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ENT = result[1].split("||")[5]
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MEAN = result[1].split("||")[6]
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sb = result[1].split("||")[7]
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lap = result[1].split("||")[8]
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dev = result[1].split("||")[9]
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print(cast, da, satu)
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mesg = "颜色分布(0-1合理):{} 分布方差(负数偏暗):{} 色彩饱和度(零为补光):{}<br/>对比度:{} 角度方向二阶矩:{} 熵:{} 平均值:{} Sobel:{} Lap:{} dev:{}".format(cast, da, satu, CON, ASM, ENT, MEAN,sb,lap,dev)
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if(int(m_class)==1):
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if(int(m_model)==1): #小模型
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RR = DL.run(weights=(curPath+"/yolov5/v3s.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火 小模型】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_model)==2): #大模型
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RR = DL.run(weights=(curPath+"/yolov5/v6m6.pt"), source=img_path, imgsz=(1280, 1280), project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火 大模型】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_model)==3): #泛模型
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RR = DL.run(weights=(curPath+"/yolov5/best.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火 泛模型】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==2):
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RR = DL.run(weights=(curPath+"/yolov5/yolov5s.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【一般物体检测】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==3):
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RR = DL.run(weights=(curPath+"/yolov5/fire_smoke_towercrane.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火+塔吊】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==4):
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RR = DL.run(weights=(curPath+"/yolov5/vehicle_4class_ljp_v3.0.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【外破四类】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==5):
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RR = DL.run(weights=(curPath+"/yolov5/vehicle_4class_ljp_v7.0.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【外破四类】"+RR+' <br/> '+mesg, 'flag': True})
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def dlurl(request):
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if request.method == 'GET':
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url = request.GET["url"] #获取前端上传的文件
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m_model=request.GET["model"]
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m_class=request.GET["class"]
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print("m_model:",m_model)
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print("url:",url)
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name = url.split(r'/')[-1]
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if not (name.endswith(".jpg") or name.endswith(".jpeg") or name.endswith(".png") or name.endswith(".bmp")):
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return JsonResponse({'flag': False})
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fix = datetime.now().strftime('%Y%m%d%H%M%S%f')+'1' #给文件加前缀防止文件名重复
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curPath = os.path.abspath( os.path.dirname( __file__ ) )
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img_path = os.path.abspath(curPath+'/static/download/'+fix+name)
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r = requests.get(url)
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# 保存
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with open (img_path, 'wb') as f:
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f.write(r.content)
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f.close
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#返回给前端的图片路径用相对路径，前端用绝对路径反而加载不了图片
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img_path_res = '/static/detected/'+fix+name
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result = adb_shell("ImageDetect/build/ImageDetect {}".format(img_path))
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if result[0]==0:
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cast = result[1].split("||")[0]
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da = result[1].split("||")[1]
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satu = result[1].split("||")[2]
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CON = result[1].split("||")[3]
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ASM = result[1].split("||")[4]
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ENT = result[1].split("||")[5]
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MEAN = result[1].split("||")[6]
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sb = result[1].split("||")[7]
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lap = result[1].split("||")[8]
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dev = result[1].split("||")[9]
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print(cast, da, satu)
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mesg = "颜色分布(0-1合理):{} 分布方差(负数偏暗):{} 色彩饱和度(零为补光):{}<br/>对比度:{} 角度方向二阶矩:{} 熵:{} 平均值:{} Sobel:{} Lap:{} dev:{}".format(cast, da, satu, CON, ASM, ENT, MEAN,sb,lap,dev)
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if(int(m_class)==1):
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if(int(m_model)==1): #小模型
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RR = DL.run(weights=(curPath+"/yolov5/v3s.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火 小模型】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_model)==2): #大模型
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RR = DL.run(weights=(curPath+"/yolov5/v6m6.pt"), source=img_path, imgsz=(1280, 1280), project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火 大模型】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_model)==3): #泛模型
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RR = DL.run(weights=(curPath+"/yolov5/best.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火 泛模型】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==2):
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RR = DL.run(weights=(curPath+"/yolov5/yolov5s.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【一般物体检测】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==3):
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RR = DL.run(weights=(curPath+"/yolov5/fire_smoke_towercrane.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【烟火+塔吊】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==4):
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RR = DL.run(weights=(curPath+"/yolov5/vehicle_4class_ljp_v3.0.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【外破四类】"+RR+' <br/> '+mesg, 'flag': True})
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if(int(m_class)==5):
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RR = DL.run(weights=(curPath+"/yolov5/vehicle_4class_ljp_v7.0.pt"), source=img_path, project=(curPath+"/static/detected"))
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return JsonResponse({'img_name':img_path_res,'code':"【外破四类】"+RR+' <br/> '+mesg, 'flag': True})
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def home(request):
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return render(request, 'home.html')
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