【pytorch】pytorch-yolov3拍照并保存，进行检测后遍历所有图片并显示图片

柔情只为你懂 2023-01-13 10:42 115阅读 0赞

参看摄像头参数：

v4l2-ctl -d /dev/video0 --all  
安装numpy:  
sudo apt-get install python-numpy  
下载onnx  
pip install onnx  
效果图：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQxMzU4NTc0_size_16_color_FFFFFF_t_70_pic_center]

## 拍照部分： ##

# url = 'http://192.168.1.108:8080/video'
    
    i=0
    
    # cap = cv2.VideoCapture(url)
    cap = cv2.VideoCapture(0)
    
    array_of_img = []
    start = time.time()
    directory_name=r'output1'
    for i in range(10):
    
        
    
        # Capture frame-by-frame
    
        ret, frame = cap.read()
    
        # Display the resulting frame
    
        cv2.imshow('frame'+str(i),frame)
        cv2.waitKey(0)
        #time.sleep(10);
    
        end = time.time()
    
        cv2.imwrite('/home/heziyi/桌面/PyTorch-YOLOv3/data/custom/dd2/'+str(i)+".jpg",frame)

## 显示部分： ##

from __future__ import division
    
    
    
    from models import *
    
    from utils.utils import *
    
    from utils.datasets import *
    
    from utils.augmentations import *
    
    from utils.transforms import *
    
    
    
    import os
    
    import sys
    
    import time
    
    import datetime
    
    import argparse
    
    
    
    from PIL import Image
    
    
    
    import torch
    
    import torchvision.transforms as transforms
    
    from torch.utils.data import DataLoader
    
    from torchvision import datasets
    
    from torch.autograd import Variable
    
    
    
    import matplotlib.pyplot as plt
    
    import matplotlib.patches as patches
    
    from matplotlib.ticker import NullLocator
    
    import time
    
    from time import strftime
    
    import cv2
    array_of_img = []
    start = time.time()
    i=0
    directory_name=r'output1'
    if __name__ == "__main__":
        for filename in os.listdir(directory_name):
            i=i+1
            #print(filename) #just for test
            #img is used to store the image data 
            img = cv2.imread(directory_name + "/" + filename)
            array_of_img.append(img)
            #print(img)
            cv2.imshow(str(i),img)
            cv2.waitKey(0)

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQxMzU4NTc0_size_16_color_FFFFFF_t_70_pic_center]: /images/20221022/7aa852cb186d41b3b01170e0aa053b7a.png