mmdetection2.x windows下 PermissionError:

迈不过友情╰ 2023-02-18 08:07 31阅读 0赞

mmcv造成的shutil.copyfile()，复制文件，在复制的时候目标 文件是不能存在的，但是打印发现复制之前.py就已经存在。先将.py删掉，然后再复制就能出结果了。

可以先打印一下文件夹下存在的文件：

![图片][format_png]

修改：

temp_config_file = tempfile.NamedTemporaryFile(
                        dir=temp_config_dir, suffix='.py')
                    temp_config_name = osp.basename(temp_config_file.name)
                    
                    if os.path.exists(osp.join(temp_config_dir, temp_config_name)):
                        os.remove(osp.join(temp_config_dir, temp_config_name))
    
                    shutil.copyfile(filename,
                                    osp.join(temp_config_dir, temp_config_name))

测试：

import time
    import cv2
    import os
    import numpy as np
    from mmdet.apis import init_detector, inference_detector
    from mmdet.datasets.voc import VOCDataset
    
    s=time.time()
    class_data = VOCDataset
    class_dic = class_data.CLASSES
    class_color = [(0, 255, 0), (0, 0, 255), (255, 0, 255), (0, 255, 255), (255, 255, 0), ]
    
    config_file = r'./configs\faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'
    checkpoint_file = r'D:\0_code\2_highmm\tools/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth'
    result_path = "./result/"
    img_path = r'D:\0_code\2_highmm/'
    
    if not os.path.exists(result_path):
        os.makedirs(result_path)
    model = init_detector(config_file, checkpoint_file)
    
    print("init_detector_use time :", time.time()-s)
    
    filelist = os.listdir(img_path)
    for item in filelist:
        if item.endswith('.jpg'):
            img = img_path+item
            print("------")
            print(item)
            img = cv2.imread(img)
            star = time.time()
            result = inference_detector(model, img)
            for i in range(len(class_dic)):
                sores = result[i][:, -1]
                if len(sores) > 0:
                    for j in range(len(sores)):
                        score_ = round(sores[j], 3)
                        if score_ > 0.2:
                            # print("图像：", item, "第 ", i, "类, 得分： ", sores[j])
                            label_text = class_dic[i] + "::"+str(score_)
                            bboxes = result[i][j, :-1]
                            # print(bboxes)
                            bbox_int = bboxes.astype(np.int32)
                            left_top = (bbox_int[0], bbox_int[1])
                            right_bottom = (bbox_int[2], bbox_int[3])
                            cv2.rectangle(img, left_top, right_bottom, color=class_color[1],thickness=2)
                            cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] - 4),
                                        cv2.FONT_HERSHEY_COMPLEX, 0.8, class_color[1])
                else:
                    continue
            cv2.imwrite(result_path+item, img)
            cv2.imshow("result: ", img)
            cv2.waitKey(100000)
            print("Test one pic use time:", time.time()-star)
    
    print("time", time.time()-s)

结果

![format_png 1][]

[format_png]: https://imgconvert.csdnimg.cn/aHR0cHM6Ly9zdGF0aWMuZGluZ3RhbGsuY29tL21lZGlhL2xBTFBEM2xHcS1uTVp5ck5Bb19OQkFNXzEwMjdfNjU1LnBuZ182MjB4MTAwMDBxOTBnLmpwZw?x-oss-process=image/format,png
[format_png 1]: https://imgconvert.csdnimg.cn/aHR0cHM6Ly9zdGF0aWMuZGluZ3RhbGsuY29tL21lZGlhL2xBTFBEM2xHcS1uUzdQRE5BYXZOQW9BXzY0MF80MjcucG5n?x-oss-process=image/format,png