Instructions to use thangkt/PCB-Prune-YOLO-P10-DepGraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use thangkt/PCB-Prune-YOLO-P10-DepGraph with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("thangkt/PCB-Prune-YOLO-P10-DepGraph") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "parameters": 2415613, | |
| "counted_parameters": 2415613, | |
| "macs": 3232802400, | |
| "gmacs": 3.2328024, | |
| "flops_estimate": 6465604800, | |
| "gflops_estimate": 6.4656048, | |
| "mean_latency_ms": 9.718659240006673, | |
| "median_latency_ms": 9.886948000712437, | |
| "p95_latency_ms": 10.987326000758912, | |
| "fps": 102.89485157412653, | |
| "model": "outputs/finetune_sparse_reg5e4/p10/weights/best.pt", | |
| "model_size_mb": 4.850336074829102, | |
| "batch_size": 1, | |
| "imgsz": 640, | |
| "device": "cuda:0", | |
| "gpu_name": "Tesla T4", | |
| "gpu_total_memory_mb": 14911.6875, | |
| "peak_gpu_memory_mb": 40.015625, | |
| "python_version": "3.12.12", | |
| "torch_version": "2.10.0+cu128", | |
| "cuda_version": "12.8", | |
| "ultralytics_version": "8.4.115" | |
| } |