d0c594c666de217c5868c83acd9032ee998d105a,models/COCO.res50.256x192.CPN/dataset.py,,Preprocessing,#Any#Any#,162

Before Change


        segms.append(seg)

    if vis:
        img2 = img.copy()
        from visualization import draw_skeleton
        draw_skeleton(img, label.astype(int))
        cv2.imshow("1", ori_img)
        cv2.imshow("2", img2)
        cv2.imshow("", img)
        cv2.waitKey()
        // from vis_detection import visualize
        // visualize(ori_img, np.array(d["bbox"]).reshape(4,))
        // visualize(img, keypoints=joints)

After Change


        segms.append(seg)

    if vis:
        tmpimg = img.copy()
        from lib.utils.visualize import draw_skeleton
        draw_skeleton(tmpimg, label.astype(int))
        cv2.imwrite("vis.jpg", tmpimg)
        from IPython import embed; embed()

    img = img - cfg.pixel_means
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 4

Non-data size: 9

Instances


Project Name: chenyilun95/tf-cpn
Commit Name: d0c594c666de217c5868c83acd9032ee998d105a
Time: 2018-04-21
Author: chenyilun95@gmail.com
File Name: models/COCO.res50.256x192.CPN/dataset.py
Class Name:
Method Name: Preprocessing


Project Name: chenyilun95/tf-cpn
Commit Name: d0c594c666de217c5868c83acd9032ee998d105a
Time: 2018-04-21
Author: chenyilun95@gmail.com
File Name: models/COCO.res50.256x192.CPN/dataset.py
Class Name:
Method Name: Preprocessing


Project Name: chenyilun95/tf-cpn
Commit Name: d0c594c666de217c5868c83acd9032ee998d105a
Time: 2018-04-21
Author: chenyilun95@gmail.com
File Name: models/COCO.res101.384x288.CPN/dataset.py
Class Name:
Method Name: Preprocessing


Project Name: chenyilun95/tf-cpn
Commit Name: d0c594c666de217c5868c83acd9032ee998d105a
Time: 2018-04-21
Author: chenyilun95@gmail.com
File Name: models/COCO.res50.384x288.CPN/dataset.py
Class Name:
Method Name: Preprocessing


Project Name: chenyilun95/tf-cpn
Commit Name: d0c594c666de217c5868c83acd9032ee998d105a
Time: 2018-04-21
Author: chenyilun95@gmail.com
File Name: models/COCO.res101.256x192.CPN/dataset.py
Class Name:
Method Name: Preprocessing