epochs=3, batch_size=16, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name...
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yolo task=detect mode=train data=data.yaml model=yolov8s.pt epochs=20 lr0=0.01 Starting training for 20 epochs... Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 1/20 4.08G 1.474 1.314 1.25 140 640: 100%|██████████| 250/250 [00:18<00:00, 13.18it/s] Class ...
/usr/bin/env python3# -*- coding: utf-8 -*-importxml.etree.ElementTreeasETimportosclasses=[]# 初始化为空列表CURRENT_DIR=os.path.dirname(os.path.abspath(__file__))defconvert(size,box):dw=1./size[0]dh=1./size[1]x=(box[0]+box[1])/2.0y=(box[2]+box[3])/2.0w=box[1]-box...
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 1/10 2.61G 1.153 1.398 1.192 81 640: 1 Class Images Instances Box(P R mAP50 m all 128 929 0.688 0.506 0.61 0.446 Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size ...
GPU环境安装 参考这个链接:点击 # 安装CUDA、CUDNN、Python、Pytorch、Torchvision 这里每个版本要相互对应pipinstall ultralytics -i https://pypi.tuna.tsinghua.edu.cn/simple 4.1 环境检测 下载yolov8n.pt和bus.jpg 然后命令行输入 yolo predictmodel=yolov8n.ptsource='ultralytics/data/images/bus.jpg' ...
start = time.time()# Transfer input data to the GPU.cuda.memcpy_htod_async(cuda_inputs[0], host_inputs[0], stream)# Run inference.context.execute_async_v2(bindings=bindings, stream_handle=stream.handle)# context.execute_async(batch_size=self.batch_size, bindings=bindings, stream_handle=...
Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output 398554 0.6174 0.367 44.63 12.67 (1, 3, 320, 320) (1, 10) 398554 1.235 0.348 4.173 11.56 (2, 3, 320, 320) (2, 10) 398554 2.469 0.352 13.1 9.708 (4, 3, 320, 320) (4, 10) 398554 4.939 0.350 6.128 9.442 ...
Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 1/1 0.906G 0.5389 11.58 0.7483 0.8451 0.874 2 640: 33%|███▎ | 1/3 [00:00<00:01, 1.22it/s]Ultralytics YOLOv8.0.149 Python-3.11.4 torch-2.0.1+cu118 CUDA:0 (NVIDIA GeForce RTX 4080, 16376MiB) ...
input[b * 3 * img.rows * img.cols + i + 2 * img.rows * img.cols] = (float)uc_pixel[0] / 255.0; uc_pixel += 3; ++i; } } } } 3.4.3 前向推理 前向推理分为如下几个步骤: 1、分配CPU和GPU上的内存 2、数据拷贝和推理 ...