simple-faster-rcnn-pytorch
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chenyuntc
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Hi @chenyuntc, Thanks for your simplified(simple) implementation of Faster R-CNN in pytorch. Going by your instructions, I was successfully able to train/test the **simple-faster-rcnn-pytorch** setup on my system. Now, I...
when I run the code,I got this error: Traceback (most recent call last): File "train.py", line 24, in resource.setrlimit(resource.RLIMIT_NOFILE, (20480, rlimit[1])) ValueError: current limit exceeds maximum limit If you suspect...
the python code for non_maximum_suppression is about 2x slow It is strongly recommended to build cython code: `cd model/utils/nms/; python3 build.py build_ext --inplace `cd model/utils/nms/; python3 build.py build_ext --inplace''') ======user...
关于faster rcnn，可加群857449786 注明（faster rcnn）共同学习，谢谢 已经解决了win10下关于faster rcnn下训练自己数据集的问题，如有不了解的，可以交流
Do anyone know how can I return the total number of detected object as integer in demo?
In some part of code, for example in [bbox_tools.py](https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/367db367834efd8a2bc58ee0023b2b628a0e474d/model/utils/bbox_tools.py#L1), numpy import is different, such as: `import numpy as np` `import numpy as xp` Is there any special reason to separate...
About RPN
Thank you for your contribution, can I extract the RPN module separately?Remove Faster RCNN classification steps?
I think that the code does not use nms to discard the repetitive bboxes, which reduces mAP. But in the demo, nms is utilized before visualizing predicted bboxes. I want...
