Comments (3)
I wrote a quick addition to test a directory with custom images, you can find it here: https://github.com/random9v2/litepose/tree/test_img_dir
You will have to install natsort via conda/pip. For running the code, choose your image directory and run it, e.g., with:
python valid.py --cfg experiments/crowd_pose/mobilenet/mobile.yaml --superconfig mobile_configs/search-XS.json TEST.MODEL_FILE checkpoints/LitePose-Auto-XS_crowd.pth.tar DATASET.DATASET_TEST image_dir DATASET.ROOT dataset/my_img/ PRINT_FREQ 1
from litepose.
I wrote a quick addition to test a directory with custom images, you can find it here: https://github.com/random9v2/litepose/tree/test_img_dir
You will have to install natsort via conda/pip. For running the code, choose your image directory and run it, e.g., with:
python valid.py --cfg experiments/crowd_pose/mobilenet/mobile.yaml --superconfig mobile_configs/search-XS.json TEST.MODEL_FILE checkpoints/LitePose-Auto-XS_crowd.pth.tar DATASET.DATASET_TEST image_dir DATASET.ROOT dataset/my_img/ PRINT_FREQ 1
Although I wrote one myself, thank you very much for your help!
from litepose.
I wrote a quick addition to test a directory with custom images, you can find it here: https://github.com/random9v2/litepose/tree/test_img_dir
You will have to install natsort via conda/pip. For running the code, choose your image directory and run it, e.g., with:python valid.py --cfg experiments/crowd_pose/mobilenet/mobile.yaml --superconfig mobile_configs/search-XS.json TEST.MODEL_FILE checkpoints/LitePose-Auto-XS_crowd.pth.tar DATASET.DATASET_TEST image_dir DATASET.ROOT dataset/my_img/ PRINT_FREQ 1
Although I wrote one myself, thank you very much for your help!
I have the same problem and if I want to test my own image. Do you have the correct inference code? thanks
from litepose.
Related Issues (20)
- inference with a webcam on a Windows PC
- Jetson Nano inference speed is not same HOT 2
- Jetson Nano inference ιεΊ¦ζ ’ HOT 9
- Compare with Lite-HRNet ?
- help/ crowdposetools missing and once-for-all lib HOT 2
- Code for android app HOT 1
- Group.py
- LitePose-Auto-XS COCO model
- missing 1 required argument "num_spatial_dims" HOT 3
- pretrained model can not be download
- mismatch between different persons HOT 1
- How to get LitePose-Auto-L model with a coco dataset? HOT 1
- Typo in `do_train`
- How can I inference on video using other devices?
- nano_demo inference get error : ../nano_demo/checkpoints/lite_pose_nano/lib0.o: error adding symbols: File in wrong format HOT 4
- How to Fine-Tuning the model on my custom dataset with same keypoints
- Does Normal Training have a pre-training model?
- Where is the model? HOT 2
- how to reproduce XS results on COCO? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. πππ
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google β€οΈ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from litepose.