amlarraz

Hey! Many thanks @jmtatsch !

I'm working with the library and I've found a (i think) mistake in this part of the code. When the predicted entity is not in the true-entities list and the...

No problem, I've just created the [pull request](https://github.com/davidsbatista/NER-Evaluation/pull/22). Many thanks for your work!

But it got stuck at this value or it never decreases?

Hey! I'm trying to convert the model to TensorRT (ver. 5.1.6.1) and surprisingly everything work in the conversion process but when I'm doing an inference using the .pth saved model...

Nop...but with the update of the repo (the memory usage optimizat) I don't need TensorRT to work because the model fits in the Jetson's nano 4Gb of RAM

Hi @chiendoanngoc ! You're welcome! I've faced the same issue and I fixed that by using another version of PyTorch. Actually I'm using version: 1.9.0+cu111 however it depends on your...

Hi @Twixii99, which CUDA version are you using? Remember that the PyTorch version depends on the CUDA version you're using. Ifyou're using this PyTorch version and the colab enviroment is...

Hi! cv2.Canny reefers to the [canny function in opencv](https://docs.opencv.org/4.x/da/d22/tutorial_py_canny.html). It is only neccesary for the "Shape Stream" which is feeded by x13, x23, x33, x44 and also with the original...

Mmmmm I think the figure 1 doesn't have Canny operation because this operation isn't part of the model but part of the data to feed the model (and also to...