Max

Results 11 issues of Max

totally use your code, does not change any thing. but error comes out.... here is error info C:\Users\Max\Anaconda3\envs\Pytorch\lib\site-packages\torch\nn\modules\upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.Upsampling is deprecated. Use nn.functional.interpolate...

I tried to train Faster-RCNN from scratch. The train.py gives me this result: { "main/rpn_loc_loss": 0.045347146689891815, "main/rpn_cls_loss": 0.17269396781921387, "main/roi_loc_loss": 0.27309778332710266, "main/roi_cls_loss": 0.49079766869544983, "main/loss": 0.9819365739822388, "lr": 0.0001, "validation/main/map": 0.12205098147362133, "validation/main/ap/aeroplane": 0.2037050348560657,...

bug

同样的代码为什么我的不一样,scikit-learn的结果不对。。。。 ![下载 (1)](https://user-images.githubusercontent.com/16555750/58165784-0d935a00-7cbb-11e9-8423-17cc901eae66.png)

(Pytorch) bash-3.2$ bash get_coco_dataset.sh xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun get_coco_dataset.sh: line 7: cd: coco: No such file or directory mkdir: images: File exists get_coco_dataset.sh:...

`import imgaug as ia` `from imgaug import augmenters as iaa` where is imgaug?

I read your code and found that the 9\*1 is a conv layer in conv_bn_dynamic_apool() function. The paper says "replaced by two -layers-a fully connected layers of 9\*1 and an...

confused with pool_time layer. as said 'modify the payers to adapt to the spectrogram'. a input size of 512\*300 with 3s segment, the resnet50 output 9\* 8\*2048d, and followed with...

File "C:\Users\ch\Anaconda3\envs\torch\lib\ctypes\__init__.py", line 364, in __init__ self._handle = _dlopen(self._name, mode) OSError: [WinError 126] 找不到指定的模块。

run: python YOLO_tiny_tf.py -test.jpg error shows up as follow: C:\Users\Max\Anaconda3\envs\tensorflow\python.exe E:/condaDev/YOLO_tensorflow-master/YOLO_tiny_tf.py Building YOLO_tiny graph... Layer 1 : Type = Conv, Size = 3 * 3, Stride = 1, Filters =...