Semih Cantürk
Semih Cantürk
I am trying to convert the YOLOv3 model here to ONNX. This is also crossposted to the keras-onnx repository (https://github.com/onnx/keras-onnx/issues/606), but I wanted to post it here for outreach as...
After pip installing ViZDoom as instructed, I'm getting the following error when running the basic.py example: ``` (base) Semihs-MBP:python semo$ python basic.py libc++abi.dylib: terminating with uncaught exception of type boost::interprocess::lock_exception:...
I'm trying to access the intermediate layers of the YOLOv3 model during a forward pass. Using the functional API, this is usually achieved as follows (from https://www.tensorflow.org/guide/keras/functional, see section "Extract...
I am trying to convert the YOLOv3 model from https://github.com/qqwweee/keras-yolo3 to ONNX. The README on https://github.com/onnx/keras-onnx/tree/master/applications/yolov3 states the following: > The original keras model was coming from: https://github.com/qqwweee/keras-yolo3, clone the...
When using userChrome-vibrancy.css in dark mode, the main bar seems to retain the light mode color while the other elements (search bar etc.) turn darker, and the text changes to...
Hi @jacobgil , I'm working on applying Score-CAM on YOLOv5 by implementing the `YOLOBoxScoreTarget` class (so this issue is closely related with #242). There are several issues I want to...
[Graph Positional and Structural Encoder](https://arxiv.org/abs/2307.07107) implementation as per #8310. Adapted from the original repository: https://github.com/G-Taxonomy-Workgroup/GPSE. This version is a standalone implementation that is decoupled from GraphGym, and thus aims for...
### 🐛 Describe the bug I'm unable to get pyg-lib to import on my Mac. It seems to affect both Intel and M1 Macs (I'm on an Intel, but an...
It seems to me that a direct forward pass via `model(x)` and using the extractor's forward pass through `forward_pass_on_convolutions(x)` gives outputs of different sizes. `forward_pass_on_convolutions(x)` outputs a tensor of size...
In `gradcam.py`, `generate_cam` function, the target tensor is created as follows: ``` # target for backprop one_hot_output = torch.cuda.FloatTensor(1, model_output.size()[-1]).zero_() one_hot_output[0][target_class] = 1 ``` Given that `model_output` here is of...