QAQ

获取照片中的EXIF元数据信息，包括GPS经纬度信息（转换成十进制显示）

手动选取特征点求配准参数

已有的mask图像上打标签def mask_label(img_shape,mask,label_name_to_value): cls = np.zeros(img_shape[:2], dtype=np.int32) cls_name='module' cls_id = label_name_to_value[cls_name] cls[mask] = cls_id return clslabelme中自带的绘制mask图像代码def shape_to_mask(img_shape,

在原来文件名的基础上进行批量更新效果图# 批量重命名文件夹import osif __name__=="__main__": path = "E:/PycharmProjects/LearnCV/exam/Labelme-master/result_mask/WUDING" #文件夹路径 # dir=root_path+"ours"+"/" # print("hello") for root, dir, files in os.walk(path):

Savitzky-Golay 滤波器实现曲线平滑#Savitzky-Golay 滤波器实现曲线平滑# 用于生成问题描述中示例曲线的代码如下：Size = 255x = np.linspace(0, Size, Size+1)data = g_hist# 可视化图线# plt.plot(x, data)# 使用Savitzky-Golay 滤波器后得到平滑图线from scipy.signal import savgol_filtery = savgol_filter(data, 21,

加载图片import cv2img = cv2.imread("sample.jpg ")BGR 转RGBimg_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)用pillow打开图片from PIL import Imageimg = Image.open("sample.jpg ")生成RGB与HSV的直方图def show_img(path): img = cv2.imread(path) b, g, r = img[:

弹出窗口选取读取的图片#读取图片ftypes = [ ("JPG", "*.jpg;*.JPG;*.JPEG"), ("PNG", "*.png;*.PNG"), ("GIF", "*.gif;*.GIF"), ("All files", "*.*")]root = tk.Tk()root.withdraw() #HIDE THE TKINTER GUIfile_path = filedialog.askopenfilename(filetypes = ftype