simple-faster-rcnn-pytorch
simple-faster-rcnn-pytorch copied to clipboard
chenyuntc
A simplified implemention of Faster R-CNN that replicate performance from origin paper
resource.setrlimit(resource.RLIMIT_NOFILE, (20480, rlimit[1])) 20480 is too larger to run it.when I change it to 4096,I can run it.
File "/home//anaconda3/lib/python3.6/site-packages/fire/core.py", line 127, in Fire component_trace = _Fire(component, args, context, name) File "/home//anaconda3/lib/python3.6/site-packages/fire/core.py", line 366, in _Fire component, remaining_args) File "/home//anaconda3/lib/python3.6/site-packages/fire/core.py", line 542, in _CallCallable result = fn(*varargs, **kwargs)...
my env： Python3.5.4 CUDA Version 8.0.61 Pytorch 1.0.1 python3 train.py train --env='fasterrcnn-caffe' --caffe-pretrain /usr/local/lib/python3.5/site-packages/IPython/core/history.py:226: UserWarning: IPython History requires SQLite, your history will not be saved warn("IPython History requires SQLite, your...
In the FasterRCNN.py module's `_suppress` function, All BG class scores are ignored and the FG box scores are kept as long as they are > 0.05. These then go into...
https://blog.csdn.net/moxiao1995071310/article/details/79992608 `````` from distutils.core import setup from distutils.extension import Extension from Cython.Distutils import build_ext import numpy as np ext_modules = [Extension("_nms_gpu_post", ["_nms_gpu_post.pyx"])] setup( name="Hello pyx", cmdclass={'build_ext': build_ext}, ext_modules=ext_modules, include_dirs=[np.get_include()] )...
pytorch 4.0.1 windows: 10 cuda: 9.0 python: 3.6 when I run the demo: trainer.load('C:\\Users\\25118\\.torch\\models\\fasterrcnn_12211511_0.701052458187_torchvision_pretrain.pth') opt.caffe_pretrain=False # this model was trained from torchvision-pretrained model _bboxes, _labels, _scores = trainer.faster_rcnn.predict(img,visualize=True) vis_bbox(at.tonumpy(img[0]), at.tonumpy(_bboxes[0]),...
I am getting the following error while pushing the variable gt_roi_label to cuda. Sometimes this works and sometimes this doesn't throw error. when I do t.tensor(gt_roi_label), it always works but...
object __array__ method not producing an array
For getting more accuracy in faster-rcnn , which parameters i have to tune (tuning parameters). please anybody provide the solution for that problem, actually my model is working but the...
