Comments (9)
Experiment02
Dataset Config
ai_challenger-gpu.cfg
Training Config
- cpm mv2:
experiment02-cpm-gpu.cfg
- hourglass mv2:
experiment02-hourglass-gpu.cfg
- simplepose resnet18:
experiment02-sp-resnet18-gpu.cfg
Result
Summary
Following [email protected] are evaluated with AI Challenger's validation set.
Name | Backbone | [email protected] | tflite size | input shape | output shape |
---|---|---|---|---|---|
CPM | MobileNetV2 | 92.91% |
4.1MB |
[1,192,192,3] |
[1,24,24,14] |
Hourglass | MobileNetV2 | 72.58% |
1.9MB |
[1,192,192,3] |
[1,48,48,14] |
SimplePose | ResNet18 | 97.22% |
61.5MB |
[1,192,192,3] |
[1,48,48,14] |
Tensorboard
Preparing...
from tf2-mobile-2d-single-pose-estimation.
Experiment03
models from https://github.com/edvardHua/PoseEstimationForMobile/tree/master/release
Result
Summary
Following [email protected] are evaluated with AI Challenger's validation set.
Name | Backbone | [email protected] | tflite size | input shape | output shape |
---|---|---|---|---|---|
CPM | MobileNetV2 | 96.29% |
2.4MB |
[1,192,192,3] |
[1,96.96,14] |
Hourglass | MobileNetV2 | 94.93% |
1.7MB |
[1,192,192,3] |
[1,48,48,14] |
from tf2-mobile-2d-single-pose-estimation.
The values of [email protected] and tflite size seem to be empty for Experiment03. Are you planning to update it?
from tf2-mobile-2d-single-pose-estimation.
The values of [email protected] and tflite size seem to be empty for Experiment03. Are you planning to update it?
Sure. I update it just now.
from tf2-mobile-2d-single-pose-estimation.
For Experiment02, where could I find the configuration and tflite files?
from tf2-mobile-2d-single-pose-estimation.
For Experiment02, where could I find the configuration and tflite files?
Here are the tflite files. cfg files are placed on config/training
folder.
https://github.com/tucan9389/tf2-mobile-pose-estimation/releases/tag/experiment02
from tf2-mobile-2d-single-pose-estimation.
Thanks, could you also release the corresponding frozen .pb files too?
I wanted to compare them with my trained model.
from tf2-mobile-2d-single-pose-estimation.
Thanks, could you also release the corresponding frozen .pb files too?
I wanted to compare them with my trained model.
I just have saved_model now. If you open new issue for this, I’ll share soon.
Thank you.
from tf2-mobile-2d-single-pose-estimation.
Experiment04
- various stage number of CPM models
- input shape:
[1,192,192,3]
- output shape:
[1,24,24,14]
Hyperparameters
- number_of_epoch:
200
(about 140.2k step)
→ need to experiment with bigger epoch in the production model
Results
Stage num | [email protected] | tflite size |
---|---|---|
1 | 60.16% |
2.8MB |
2 | 60.24% |
3.3MB |
3 | 62.38% |
3.7MB |
4 | 93.27% |
4.2MB |
5 | 92.82% |
4.7MB |
Experiment05
- simple pose with various MobileNetV2
# | Channels | [email protected] | tflite size |
---|---|---|---|
1 | [256, 256] |
77.58% |
9.3MB |
Comments
The first [email protected] doesn't satisfy. I'll reconstruct and experiment again.
from tf2-mobile-2d-single-pose-estimation.
Related Issues (20)
- Implement ModelProvider
- Evaluate with MPII
- Update README for 1.0.0 HOT 1
- All in one dataset
- Pre-trained Model Release HOT 3
- Add gif demo on README
- Support hand pose estimation dataset
- Set the layer names when release
- Training trend seems weird on COCO Datasets HOT 1
- Update exp001~exper005
- Regarding changing augmentation to improve accuracy HOT 1
- KeyError: 'extra' in train.py
- Model Files Needed
- Filtering COCO keypoint dataset to single person only and convert it HOT 3
- Convert Eager to Keras fit in training HOT 8
- please provide the code python sniplet for getting keypoints from .pb modela and .tflite file
- getting error while running train.py in windows HOT 1
- RAM memory increases
- How can I add Upsampling2D at end of mv2_cpm?
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from tf2-mobile-2d-single-pose-estimation.