Closed Forchapeatl closed 1 year ago
Hi, thank you for your interest! You can follow the guide (here). There are several steps:
@vt-le , thank you. Please how my i visuaize the results on sample video
I have gone through the config file. Please how may i pass file "video.mp4" as parameter ?
@vt-le , thank you. Please how my i visuaize the results on sample video
I have gone through the config file. Please how may i pass file "video.mp4" as parameter ?
Hi,
In this repository, we don't provide the code for visualization.
You cannot pass a name a video as the input. Only a name of a anomaly detection dataset [Ped2 / Avenue / ShanghaiTech] is accepted in config file.
Thank you
Thank you for your work, I just started this field, could you please send me your visualization code, thank you very much. 1418319084@qq.com.
@vt-le Thanks for the code. I have finished all the preparations, but it's failed when test the dataset by running the following command. The "file" in "--cfg /path/to/config/file" confused me. If I want to test the avenue dataset, can you provide me with the correct run command?
Hi, thank you for your interest! You can follow the guide (here). There are several steps:
- Clone the project
- Download an anomaly dataset and pretrained model
- Prepare your dataset
@vt-le Thanks for the code. I have finished all the preparations, but it's failed when test the dataset by running the following command. The "file" in "--cfg /path/to/config/file" confused me. If I want to test the avenue dataset, can you provide me with the correct run command?
Hi, thank you for your interest! You can follow the guide (here). There are several steps:
- Clone the project
- Download an anomaly dataset and pretrained model
- Prepare your dataset
Hi @lq-zhu ,
You can download the pre-trained model and save to pre_trained folder, then you can run like so:
python astnet.py --cfg experiments/ave/ave_wresnet.yaml --model-file pre_trained/avenue.pth GPUS [1]
Thanks for the code , how can one detect anomaly on test video