# encoding:utf-8 import cv2 from PyQt5.QtGui import QPixmap, QImage import numpy as np from PIL import Image,ImageDraw,ImageFont import csv import os # fontC = ImageFont.truetype("Font/platech.ttf", 20, 0) # 绘图展示 def cv_show(name,img): cv2.imshow(name, img) cv2.waitKey(0) cv2.destroyAllWindows() def drawRectBox(image, rect, addText, fontC, color): """ 绘制矩形框与结果 :param image: 原始图像 :param rect: 矩形框坐标, int类型 :param addText: 类别名称 :param fontC: 字体 :return: """ # 绘制位置方框 cv2.rectangle(image, (rect[0], rect[1]), (rect[2], rect[3]), color, 2) # 绘制字体背景框 cv2.rectangle(image, (rect[0] - 1, rect[1] - 25), (rect[0] + 60, rect[1]), color, -1, cv2.LINE_AA) # 图片 添加的文字 位置 字体 字体大小 字体颜色 字体粗细 # cv2.putText(image, addText, (int(rect[0])+2, int(rect[1])-3), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2) img = Image.fromarray(image) draw = ImageDraw.Draw(img) draw.text((rect[0]+2, rect[1]-27), addText, (255, 255, 255), font=fontC) imagex = np.array(img) return imagex def img_cvread(path): # 读取含中文名的图片文件 # img = cv2.imread(path) img = cv2.imdecode(np.fromfile(path, dtype=np.uint8), cv2.IMREAD_COLOR) return img def draw_boxes(img, boxes): for each in boxes: x1 = each[0] y1 = each[1] x2 = each[2] y2 = each[3] cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2) return img def cvimg_to_qpiximg(cvimg): height, width, depth = cvimg.shape cvimg = cv2.cvtColor(cvimg, cv2.COLOR_BGR2RGB) qimg = QImage(cvimg.data, width, height, width * depth, QImage.Format_RGB888) qpix_img = QPixmap(qimg) return qpix_img def save_video(): # VideoCapture方法是cv2库提供的读取视频方法 cap = cv2.VideoCapture('C:\\Users\\xxx\\Desktop\\sweet.mp4') # 设置需要保存视频的格式“xvid” # 该参数是MPEG-4编码类型，文件名后缀为.avi fourcc = cv2.VideoWriter_fourcc(*'XVID') # 设置视频帧频 fps = cap.get(cv2.CAP_PROP_FPS) # 设置视频大小 size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))) # VideoWriter方法是cv2库提供的保存视频方法 # 按照设置的格式来out输出 out = cv2.VideoWriter('C:\\Users\\xxx\\Desktop\\out.avi', fourcc, fps, size) # 确定视频打开并循环读取 while (cap.isOpened()): # 逐帧读取，ret返回布尔值 # 参数ret为True 或者False,代表有没有读取到图片 # frame表示截取到一帧的图片 ret, frame = cap.read() if ret == True: # 垂直翻转矩阵 frame = cv2.flip(frame, 0) out.write(frame) cv2.imshow('frame', frame) if cv2.waitKey(1) & 0xFF == ord('q'): break else: break # 释放资源 cap.release() out.release() # 关闭窗口 cv2.destroyAllWindows() # 封装函数:图片上显示中文 def cv2AddChineseText(img, text, position, textColor=(0, 255, 0), textSize=50): if (isinstance(img, np.ndarray)): # 判断是否OpenCV图片类型 img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) # 创建一个可以在给定图像上绘图的对象 draw = ImageDraw.Draw(img) # 字体的格式 fontStyle = ImageFont.truetype( "simsun.ttc", textSize, encoding="utf-8") # 绘制文本 draw.text(position, text, textColor, font=fontStyle) # 转换回OpenCV格式 return cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR) def insert_rows(path, lines ,header): """ 将n行数据写入csv文件 :param path: :param lines: :return: """ no_header = False if not os.path.exists(path): no_header = True start_num = 1 else: start_num = len(open(path).readlines()) csv_head = header with open(path, 'a', newline='') as f: csv_write = csv.writer(f) if no_header: csv_write.writerow(csv_head) # 写入表头 for each_list in lines: # 添加序号 each_list = [start_num] + each_list csv_write.writerow(each_list) # 序号 + 1 start_num += 1 class Colors: # 用于绘制不同颜色 def __init__(self): """Initialize colors as hex = matplotlib.colors.TABLEAU_COLORS.values().""" hexs = ('FF3838', 'FF9D97', 'FF701F', 'FFB21D', 'CFD231', '48F90A', '92CC17', '3DDB86', '1A9334', '00D4BB', '2C99A8', '00C2FF', '344593', '6473FF', '0018EC', '8438FF', '520085', 'CB38FF', 'FF95C8', 'FF37C7') self.palette = [self.hex2rgb(f'#{c}') for c in hexs] self.n = len(self.palette) self.pose_palette = np.array([[255, 128, 0], [255, 153, 51], [255, 178, 102], [230, 230, 0], [255, 153, 255], [153, 204, 255], [255, 102, 255], [255, 51, 255], [102, 178, 255], [51, 153, 255], [255, 153, 153], [255, 102, 102], [255, 51, 51], [153, 255, 153], [102, 255, 102], [51, 255, 51], [0, 255, 0], [0, 0, 255], [255, 0, 0], [255, 255, 255]], dtype=np.uint8) def __call__(self, i, bgr=False): """Converts hex color codes to rgb values.""" c = self.palette[int(i) % self.n] return (c[2], c[1], c[0]) if bgr else c @staticmethod def hex2rgb(h): # rgb order (PIL) return tuple(int(h[1 + i:1 + i + 2], 16) for i in (0, 2, 4)) def yolo_to_location(w,h,yolo_data): # yolo文件转两点坐标，注意画图坐标要转换成int格式 x_, y_, w_, h_ = yolo_data x1 = int(w * x_ - 0.5 * w * w_) x2 = int(w * x_ + 0.5 * w * w_) y1 = int(h * y_ - 0.5 * h * h_) y2 = int(h * y_ + 0.5 * h * h_) # cv2.rectangle(img, (int(x1), int(y1)), (int(x2), int(y2)), (255, 0, 0)) return [x1,y1,x2,y2] def location_to_yolo(w, h, locations): # x1,y1左上角坐标，x2,y2右上角坐标 x1, y1, x2, y2 = locations x_ = (x1 + x2) / 2 / w x_ = float('%.5f' % x_) y_ = (y1 + y2) / 2 / h y_ = float('%.5f' % y_) w_ = (x2 - x1) / w w_ = float('%.5f' % w_) h_ = (y2 - y1) / h h_ = float('%.5f' % h_) return [x_,y_,w_,h_] def draw_yolo_data(img_path, yolo_file_path): # 读取yolo标注数据并显示 img = cv2.imread(img_path) h, w, _ = img.shape print(img.shape) # yolo标注数据文件名为786_rgb_0616.txt with open(yolo_file_path, 'r') as f: data = f.readlines() for each in data: temp = each.split() # ['1', '0.43906', '0.52083', '0.34687', '0.15'] # YOLO转换为两点坐标x1, x2, y1, y2 x_, y_, w_, h_ = eval(temp[1]), eval(temp[2]), eval(temp[3]), eval(temp[4]) x1, y1, x2, y2 = yolo_to_location(w,h,[x_, y_, w_, h_]) # 画图验证框是否正确 cv2.rectangle(img, (x1, y1), (x2, y2), (0, 0, 255)) cv2.imshow('windows', img) cv2.waitKey(0) if __name__ == '__main__': img_path = 'TestFiles/1.jpg' yolo_file_path = 'save_data/yolo_labels/1.txt' draw_yolo_data(img_path, yolo_file_path)