-
Hi xiankai, thanks for the sharing codes. I have some questions about the training process.
1) I noticed that your shared code 'train_iteration_conf.py' firstly loads the pre-trained model named 'd…
-
### Description
We currently have a `stellargraph.utils` package, that defines https://github.com/stellargraph/stellargraph/tree/8e3c9b64983d57afcdd7780f31de75436c7df2de/stellargraph/utils :
1. …
huonw updated
4 years ago
-
I followed the tutorial on the README page, and the visualizations are not displaying. I am using a pretrained model, and I use a tensor with requires_grad=True as the image. My code doesn't run in …
-
Start with simple classification model: both for large and full, and for individual instruments and instrument categories.
- [x] extract patch
- [x] models: pretrained RijksNet (cf. ACCV)
- [ ] res…
-
I just feel curious about the joint training result and loaded the joint-poolnet model you provided.
I tested on the HUK-IS dataset and the output is not the same as yours, the edges are not correc…
-
After running breast_cancer_classifier, i copied cropped images, data.pkl and cropped_exam_list.pkl into GMIC/sample_data and then ran bash run.sh command. Getting below error
Traceback (most recen…
-
@rizkiarm Thanks for open-sourcing this implementation! It looks very interesting.
I've been trying out the pre-trained model in `/evaluation` and have successfully used `predict.py`. When I tr…
-
Hello!
Great work, i really appreciate it!
I am developing a network for video sequence classification composed by:
CNN (for feature extraction) + LSTM (for sequence class prediction).
The featur…
-
1. guided gradient
2. gradcam
-
##### System information (version)
- OpenCV => :grey_question: 4.4
- Operating System / Platform => :grey_question: Windows 64 Bit
- Compiler => :grey_question: Visual Studio 2019
##### Det…