翻译代码def addxml(): img_path = 'test' xml_path = 'Annotations' save_path = 'results' colors = {'truck': (0, 0, 255), 'car': (0, 255, 0), 'people': (255, 0, 0)}
时间: 2024-01-02 09:05:17 浏览: 20
这段代码是一个函数定义,名为addxml()。该函数有以下几个参数:
- img_path: 字符串类型,表示图片的路径。
- xml_path: 字符串类型,表示XML文件的路径。
- save_path: 字符串类型,表示保存结果的路径。
- colors: 字典类型,包含了三种物体的颜色,分别是卡车(truck)、汽车(car)、人(people),颜色用RGB值表示。
该函数的作用是将图片中物体的位置信息和标签信息保存到XML文件中,并将图片和XML文件保存到指定的路径中。
相关问题
将下面代码简洁化:def split_dataset(img_path, target_folder_path, output_path): filename = [] total_imgs = os.listdir(img_path) #for root, dirs, files in os.walk(img_path): for img in total_imgs: filename.append(img) np.random.shuffle(filename) train = filename[:int(len(filename) * 0.9)] test = filename[int(len(filename) * 0.9):] out_images = os.path.join(output_path, 'imgs') if not os.path.exists(out_images): os.makedirs(out_images) out_images_train = os.path.join(out_images, 'training') if not os.path.exists(out_images_train): os.makedirs(out_images_train) out_images_test = os.path.join(out_images, 'test') if not os.path.exists(out_images_test): os.makedirs(out_images_test) out_annotations = os.path.join(output_path, 'annotations') if not os.path.exists(out_annotations): os.makedirs(out_annotations) out_annotations_train = os.path.join(out_annotations, 'training') if not os.path.exists(out_annotations_train): os.makedirs(out_annotations_train) out_annotations_test = os.path.join(out_annotations, 'test') if not os.path.exists(out_annotations_test): os.makedirs(out_annotations_test) for i in train: print(os.path.join(img_path, i)) print(os.path.join(out_images_train, i)) shutil.copyfile(os.path.join(img_path, i), os.path.join(out_images_train, i)) annotations_name = "gt_" + i[:-3] + 'txt' shutil.copyfile(os.path.join(target_folder_path, annotations_name), os.path.join(out_annotations_train, annotations_name)) for i in test: shutil.copyfile(os.path.join(img_path, i), os.path.join(out_images_test, i)) annotations_name = "gt_" + i[:-3] + 'txt' shutil.copyfile(os.path.join(target_folder_path, annotations_name), os.path.join(out_annotations_test, annotations_name))
def split_dataset(img_path, target_folder_path, output_path):
filename = os.listdir(img_path)
np.random.shuffle(filename)
train = filename[:int(len(filename) * 0.9)]
test = filename[int(len(filename) * 0.9):]
out_images = os.path.join(output_path, 'imgs')
os.makedirs(out_images, exist_ok=True)
out_images_train = os.path.join(out_images, 'training')
os.makedirs(out_images_train, exist_ok=True)
out_images_test = os.path.join(out_images, 'test')
os.makedirs(out_images_test, exist_ok=True)
out_annotations = os.path.join(output_path, 'annotations')
os.makedirs(out_annotations, exist_ok=True)
out_annotations_train = os.path.join(out_annotations, 'training')
os.makedirs(out_annotations_train, exist_ok=True)
out_annotations_test = os.path.join(out_annotations, 'test')
os.makedirs(out_annotations_test, exist_ok=True)
for i in train:
img_src = os.path.join(img_path, i)
img_dst = os.path.join(out_images_train, i)
shutil.copyfile(img_src, img_dst)
annotations_name = "gt_" + i[:-3] + 'txt'
annotations_src = os.path.join(target_folder_path, annotations_name)
annotations_dst = os.path.join(out_annotations_train, annotations_name)
shutil.copyfile(annotations_src, annotations_dst)
for i in test:
img_src = os.path.join(img_path, i)
img_dst = os.path.join(out_images_test, i)
shutil.copyfile(img_src, img_dst)
annotations_name = "gt_" + i[:-3] + 'txt'
annotations_src = os.path.join(target_folder_path, annotations_name)
annotations_dst = os.path.join(out_annotations_test, annotations_name)
shutil.copyfile(annotations_src, annotations_dst)
代码解释:if __name__ == "__main__": postfix = 'jpg' imgpath = './VOCdevkit/JPEGImages' xmlpath = './VOCdevkit/Annotations' txtpath = './VOCdevkit/txt'
这是Python中的一段代码,用于判断当前模块是否是主模块(即直接被执行的模块),如果是主模块,则执行下面的代码。在这段代码中,将变量postfix赋值为'jpg',imgpath赋值为'./VOCdevkit/JPEGImages',xmlpath赋值为'./VOCdevkit/Annotations',txtpath赋值为'./VOCdevkit/txt'。根据命名规则,这个代码段可能是用于VOC数据集的处理。