+ 🤔 Do you want to run CenterNet pre-trained models in Colab without error 🐞 and make predictions?
- 🤯 BAAM, yes!
+ 😎 Read this doc and then download this jupyter notebook, to run CenterNet pre-trained models (with different backbones) on your dataset!
For use CenterNet in google colab please download this jupyter notebook and run it.
Note: Set your Hardware accelerator on GPU in colab.
You can use the blow options for change seeting:
Basic settings:
task: ctdet, ddd, multi_pose, exdet, default='ctdet'
--dataset: coco, kitti, coco_hp, pascal, default='coco'
--exp_id: default='default'
--test: store_true
--debug: default=0
- 1: only show the final detection results
- 2: show the network output features
- 3: use matplot to display
- 4: save all visualizations to disk
--demo: path to image/ image folders/ video or webcam
--load_model: path to pretrained model
--resume: resume an experiment. Reloaded the optimizer parameter and set load_model to model_last.pth in the exp dir if load_model is empty
See the results.md for compare the diffrent backbones results.
