release v0.0.1

✨ Features

Date	Feature Description
-	🔄 Updated Pre-trained Models: New weights for existing ResNet (18, 34, 50) and MobileNet (v2, v3) backbones, offering improved accuracy and efficiency.
-	🚀 Multi-GPU Training Support: Enabled distributed training across multiple GPUs for faster model training and improved scalability.
2024-08-31	🧠 Face Detection Integration: Sample and Computation Redistribution employed for efficient inference and processing in face detection tasks.
2024-08-31	🔄 Pre-trained Models: Support for ResNet (18, 34, 50) and MobileNet (v2, v3) backbones for feature extraction and optimized performance across diverse applications.
2024-08-31	🎯 Head Pose Estimation: Enhanced model architecture for precise head pose estimation, utilizing pre-trained backbones for robust and efficient performance.

Evaluation results on AFLW2000

Model	Size	Best Epochs	Yaw	Pitch	Roll	MAE
ResNet-18	43 MB	53	4.5027	5.8261	4.2188	4.8492
ResNet-34	81.6 MB	73	4.4538	5.2690	3.8855	4.5361
ResNet-50	91.3 MB	77	3.5529	4.9962	3.4986	4.0159
MobileNet V2	9.59 MB	73	5.6880	6.0391	4.4433	5.3901
MobileNet V3 small	6 MB	17	8.6926	7.7089	6.0035	7.4683
MobileNet V3 large	17 MB	71	5.6068	6.6022	4.9959	5.7350