SriSiddarthC

I am trying to evaluate the models provided in the repo on the COCO dataset using the tools/eval.py and switched model.load to device='cpu' But there are some functions in "coco_evaluator.py"...

Object_Detection_Nanodet

17

Google Summer of Code'22 Contributor: Sri Siddarth Chakaravarthy Project: Lightweight Object Detection Model: Nanodet Submitting pull requests for Mid-term evaluations. COMPLETED: - [x] Nanodet ONNX model (FP16) - [x] ReadMe...

This issue is related to the Google Summer of Code 2022 for the proposal of Object detection models for OpenCV zoo carried out by Sri Siddarth Chakaravarthy Adding support of...

Object_Detection: NanoDet (GSOC)

3

Updated files for object detection using YOLOX, files uploaded for review: - Model files (.onnx format FP16) - Model: Nanodet-plus-m-1.5x-416 - README - LICENSE (Apache 2.0) - demo.py (with image...

Object_Detection: YoloX (GSOC)

3

Updated files for object detection using YOLOX, files uploaded for review: - Model files (.onnx format FP16) - Models: YOLOX_s, YOLOX_tiny, YOLOX_nano - README - LICENSE (Apache 2.0) - demo.py...

- Adding COCO evaluator support for cv.dnn - Currently supported models: Nanodet, YoloX

Support for CLIP

6

Hello, wanted to say that the repo is really well put and maintained! really appreciate everyone's effort. I am currently trying to visualize concept activations on the image features using...

- Is it possible to use the pre-trained model for inference using only CPU? -How to run the repo on Google colab I am getting an import error.

Hi @mjmjeong I really love your codebase, its really easy to setup and implement for baseline studies. Thank you for maintaining the code really well. Is there support for extracting...

Extracting MESH issue

2

After training the model I am not able to extract the mesh properly, The error raised is: Mesh has 0.00 M vertices and 0.00 M faces. @bebeal please could you...