jaideep11061982

``` /opt/conda/lib/python3.7/site-packages/fastai/learner.py:54: UserWarning: Saved filed doesn't contain an optimizer state. elif with_opt: warn("Saved filed doesn't contain an optimizer state.") --------------------------------------------------------------------------- AssertionError Traceback (most recent call last) /opt/conda/lib/python3.7/site-packages/fastai/learner.py in _with_events(self, f,...

@mhmdsab are the model listed in https://github.com/lindawangg/COVID-Net/blob/master/docs/models.md are three class model (Normal/P/Covid) or 2 class model ( Covid/No covid)

@irshadarif how to interpret annotations.. are they bounding boxes or what

hi Tseng thanks for your repo. X,y-> What is the size of the X here .. as per your conv1 structure in EncoderCNN, the no of dim of input should...

hi i too face the above issue (inception_3a_1x1): Conv2d(192, 64, kernel_size=(1, 1), stride=(1, 1)) (inception_3a_1x1_bn): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (inception_3a_relu_1x1): ReLU(inplace) (inception_3a_3x3_reduce): Conv2d(192, 64, kernel_size=(1, 1), stride=(1, 1)) at...

i did upgraded the models... I use fast ai ,point of failure is when it does model.eval() using a dummy batch of shape (1,c,h,w).Evaluation is done using std pytorch

please ignore above layers here is error self.inception_3a_3x3_bn = nn.BatchNorm2d(64, affine=True) self.inception_3a_relu_3x3 = nn.ReLU (inplace) self.inception_3a_double_3x3_reduce = nn.Conv2d(192, 64, kernel_size=(1, 1), stride=(1, 1)) Batch norm would return only 64 channels...

@soujanyaporia do we have also got BBFN model repo. I am not able to find. Secondly, how i can use external dataset

kaggle notebook error ...

@N0ooone could you please help more here, i can find the function but not the place. Thanks n advance ``` def labels_to_flows(labels, files=None, use_gpu=False, device=None, omni=False,redo_flows=False): """ convert labels (list...