two models
new file: RobustVideoMatting/rknn/rvm_mobilenetv3_fp16_416x736_0.5-dsr-oplv3_rk3588_fp16.rknn
new file: RobustVideoMatting/rknn/rvm_mobilenetv3_fp16_544x960_0.5-dsr-oplv3_rk3588_fp16.rknn
new file: RobustVideoMatting/onnx/rvm_mobilenetv3_fp32.onnx
new file: RobustVideoMatting/rknn/rvm_mobilenetv3_256x256_fp16_fp16.rknn
new file: RobustVideoMatting/rknn/rvm_mobilenetv3_256x256_int8_int8.rknn
new file: RobustVideoMatting/rknn/rvm_mobilenetv3_288x512_int8_int8.rknn
new file: RobustVideoMatting/rknn/rvm_mobilenetv3_fp16_fp16.rknn
chore: setup two directories MODNet and RobustVideoMatting
- Merged photographic/README.md and root README.md into single canonical reference
- Added formal hierarchy of models: Official, Fine-tuned, and ONNX variants
- Documented training configuration (Block 1.2: 15 epochs on P3M-10k, 9421 train samples)
- Included validation loss curve and convergence analysis (Val L1: 0.0264 → 0.0062)
- Added modnet_bn_best_pureBN.onnx (25 MB) generated from best checkpoint (epoch 15)
- Detailed ONNX export procedures and deployment guidelines for C++/RKNN
- Added quick reference table and comprehensive directory structure diagram
- Marked modnet_bn_best_pureBN.onnx as RECOMMENDED for edge deployment
- Document version 1.0, 2026-03-31
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
feat: fine-tune MODNet-BN on photographic dataset (epochs 1-15)
- Supervised fine-tuning of MODNet with batch normalization
- Trained for 15 epochs
- Saved per-epoch checkpoints + best model (modnet_bn_best.ckpt)
- Training log: block1_2_training_20260319_154018.log
- Validation visualization results saved for each epoch (output/epoch_*_val.png)
- Track *.png via Git LFS to comply with HuggingFace binary storage policy
Put it in the InstanceNormalization OP folded photographic modified ONNX
model
Reconstruct the hierarchy of directory
modified: README.md
new file: photographic/README.md
renamed: modnet_photographic_portrait_matting.ckpt -> photographic/modnet_photographic_portrait_matting.ckpt
renamed: modnet_photographic_portrait_matting.onnx -> photographic/modnet_photographic_portrait_matting.onnx
new file: photographic/modnet_photographic_portrait_matting_in_folded.onnx
Upload MODNet PretrainedModels From Author(ZHKKKe)`s Google Driver