ImageNet图像分类-01-MobileNet-ONNX 基于 ImageNet 数据集,可以对 1000 个类别的物体进行分类。 MobileNet 是一种轻量化的卷积神经网络模型,旨在在计算资源有限的设备上实现高效的图像分类和目标识别。 MobileNet 通过使用深度可分离卷积来减少模型中的参数数量,从而大大减小了模型的大小和计算复杂度。深度可分离卷积...
Potato Eaters, The Practical Pistol Shooting Prelude Prelude to the Sea Prey Pride Is Protest Prime Minister, The Princess Printed Matter Prism Prisoners of the Ground Private Madness PROBE Problemski Hotel Prodrome Professionals, The Professor T (UK) Professor T. Professo...
684 n03840681 埙, ocarina, sweet potato685 n03841143 仪表盘, odometer, hodometer, mileometer, milometer686 n03843555 机油滤清器, oil filter687 n03854065 管风琴, organ, pipe organ688 n03857828 示波器, oscilloscope, scope, cathode-ray oscilloscope, CRO689 n03866082 礼服, overskirt690 n03868242 牛...
Tiny ImageNet是ImageNet的子集,ImageNet太大了,训练一次要好几天,于是准备用Tiny ImageNet代替ImageNet,但是MMPretrain项目里面用的全部都是ImageNet,需要做一些修改才能使用Tiny ImageNet. /mmpretrain/mmpretrain/datasets/imagenet.py里面列出了ImageNet的两种格式: imagenet ├── train │ ├──class_x| ...
, "930": ["n07684084", "French_loaf"], "931": ["n07693725", "bagel"], "932": ["n07695742", "pretzel"], "933": ["n07697313", "cheeseburger"], "934": ["n07697537", "hotdog"], "935": ["n07711569", "mashed_potato"], "936": ["n07714571", "head_cabbage"], "...
couchpotato.subdomain.conf.sample keep ipv6 listen separate Jul 17, 2024 couchpotato.subfolder.conf.sample Add authentik config lines and adjust comments Feb 6, 2023 crontabui.subfolder.conf.sample Add authentik config lines and adjust comments Feb 6, 2023 crowdsec-dashboard.subdomain.conf.sample...
Prompt: A monkey and a potato riding a bike under water surrounded by colorful fish and sharks. 提示词:一只猴子和一个土豆在水下骑自行车,周围环绕着五颜六色的鱼和鲨鱼。 视频资源加载失败 Prompt: A large iron ball falls on top of a cardboard box full of coins. 提示词:一个大铁球落在一个...
935 n07711569 焗饭 mashed potato 936 n07714571 蔬菜 head cabbage 937 n07714990 西蓝花 broccoli 938 n07715103 花椰菜 cauliflower 939 n07716358 蔬菜 zucchini, courgette 940 n07716906 金瓜 spaghetti squash 941 n07717410 南瓜 acorn squash 942 n07717556 南瓜 butternut squash 943 n07718472 黄瓜 cu...
Mahum R, Munir H, Mughal ZUN, Awais M, Sher Khan F, Saqlain M, Mahamad S, Tlili I (2023) A novel framework for potato leaf disease detection using an efficient deep learning model. Hum Ecol Risk Assess Int J 29(2):303–326 Ramesh S, Hebbar R, Niveditha M, Pooja R, Shashank N...
fieldimageris the tag (name) of the image and can be any acceptable name; this needs to immediately follow the-tparameter -findicates that we will be providing the name of the Dockerfile containing the instructions for building the image ...