z-x-j

Results 6 issues of z-x-j

When will your dataset be available for release? thanks

博主,最近用了你的maskrcnn代码,在做预测的时候,发现一张图片中的多个同一类物体都用同一个颜色的掩码显示了。尝试结合你之前keras版本的maskrcnn代码修改,结果失败了。博主有时间能在TensorFlow2版本的maskrcnn完善下这个问题吗?感谢

你好,用了你最新的TF2版本,用coco_annotation.py,对数据集转化的时候,在coco文件夹下面的train_annotations.json等文件都有数据,但是运行train.py后,发现 下面几行,num_train,num_val 的值为0,请问怎么解决 #---------------------------# # 读取数据集对应的txt #---------------------------# train_coco = COCO(train_annotation_path) val_coco = COCO(val_annotation_path) num_train = len(list(train_coco.imgToAnns.keys())) num_val = len(list(val_coco.imgToAnns.keys())) print('num_train=',num_train)

运行博主的shape数据集,运行coco_annotation.py出现了这个错误: D:\Anaconda\envs\tensorflow2.4.0\python.exe D:/Pycharm/example/mask_rcnn/mask-rcnn-tf2-master/coco_annotation.py Generating dataset from: datasets/before\472.json 进程已结束,退出代码-1073740940 (0xC0000374) 有谁遇到的吗?

Thank you for releasing the dataset. Also, can you please release the code for depth estimation... Thank you

raster_settings = GaussianRasterizationSettings(**self.raster_settings) TypeError: __new__() missing 3 required positional arguments: 'patch_bbox', 'prcppoint', and 'config'