2021-08-16 18:23:00 [INFO] Loading pretrained model from output/yolov3_mobilenet/pretrain/MobileNetV3_large_x1_0_ssld_pretrained.pdparams2021-08-16 18:23:00 [WARNING] neck.yolo_block.0.conv_module.conv0.conv.weight is not in pretrained model2021-08-16 18:23:00 [WARNING] neck.yolo_...
10分钟快速上手使用PaddleX——MobileNetV3_small_ssld 图像分类石头分类 PaddleX简介:PaddleX是飞桨全流程开发工具,集飞桨核心框架、模型库、工具及组件等深度学习开发所需全部能力于一身,打通深度学习开发全流程,并提供简明易懂的Python API,方便用户根据实际生产需求进行直接调用或二次开发,为开发者提供飞桨全流程开...
更多模型训练参数介绍可参见文档paddlex.cls.MobileNetV3_large_ssld,在如下代码中,模型训练过程每间隔save_interval_epochs轮会保存一次模型在save_dir目录下,同时在保存的过程中也会在验证数据集上计算相关指标,模型训练过程中相关日志的含义可参见文档 num_classes = len(train_dataset.labels) model = pdx.cls....
MobileNetV3_ssld是一种轻量级的卷积神经网络,适用于移动和嵌入式设备上的图像分类任务。它采用了深度可分离卷积和SE模块等技术,具有高效、快速的特点。 在PaddleX中,我们可以使用paddlex.det.transforms模块定义数据预处理和增强操作,然后使用paddlex.det.datasets模块加载数据集,并设置数据增强和预处理操作。接着,我们...
Highlights: vit_large_patch16_384 (87.1 top-1), vit_large_r50_s32_384 (86.2 top-1), vit_base_patch16_384 (86.0 top-1) vit_deit_* renamed to just deit_* Remove my old small model, replace with DeiT compatible small w/ AugReg weights Add 1st training of my gmixer_24_224 MLP ...
Highlights:vit_large_patch16_384(87.1 top-1),vit_large_r50_s32_384(86.2 top-1),vit_base_patch16_384(86.0 top-1) vit_deit_*renamed to justdeit_* Remove my old small model, replace with DeiT compatible small w/ AugReg weights
MobileNetV3是在MobileNetV2的基础上提出的网络,其计算量小、参数少,相比其他轻量级网络,依然取得了较好的成绩;同时以ResNeXt101_32x16d_wsl为teacher模型,运用SSLD(简单的半监督标签知识蒸馏)方式蒸馏出MobileNetV3_large模型,作为预训练模型;相对比原有的MobileNetV3预训练模型,在参数量不变的情况下,MobileNetV3_ssld...
基于PaddleX的10分钟快速上手,对果蔬数据集进行MobileNetV3_ssld分类。 飞桨PaddleX 2枚 AI Studio 经典版 1.8.4 Python3 初级计算机视觉 2020-05-04 09:27:45 版本内容 Fork记录 评论(1) 运行一下关于AI Studio AI Studio是基于百度深度学习平台飞桨的人工智能学习与实训社区,提供在线编程环境、免费GPU算力、...
Highlights: vit_large_patch16_384 (87.1 top-1), vit_large_r50_s32_384 (86.2 top-1), vit_base_patch16_384 (86.0 top-1) vit_deit_* renamed to just deit_* Remove my old small model, replace with DeiT compatible small w/ AugReg weights Add 1st training of my gmixer_24_224 MLP ...
Highlights:vit_large_patch16_384(87.1 top-1),vit_large_r50_s32_384(86.2 top-1),vit_base_patch16_384(86.0 top-1) vit_deit_*renamed to justdeit_* Remove my old small model, replace with DeiT compatible small w/ AugReg weights