Projeto completo de triagem visual de anomalias em folhas de soja usando como extrator de representações e HeraclitusDB como banco de eventos e vetores. 1. lê um manifesto com fazenda, talhão, safra e cultivar; 2. executa o I-JEPA ViT-G/16 localmente; 3. aplica média aos patch tokens e normalização L2; 4. persiste cada imagem e seu embedding euclidiano no HeraclitusDB; 5. cria um artefato local para avaliação offline; 6. treina uma sonda linear; 7. busca imagens visualmente semelhantes; 8. oferece busca por uma API FastAPI. - Python 3.11+; - HeraclitusDB ativo em 127.0.0.1:7474; - vários GB livres para o checkpoint; - RAM suficiente para um modelo com aproximadamente 1B parâmetros; - GPU é…
Open weights
mit
transformers
F
Model · Image feature extraction
Fynn
IM-Animation: An Implicit Motion Representation for Identity-decoupled Character Animation This release contains the final locally retained TiTok-based motion encoder implementation and an exported checkpoint. It provides frame-level motion tokens; it does not include the full animation generator or retargeting network. Code and project videos are available in the linked GitHub repository. The encoder was verified with PyTorch 2.7.1 on CPU using the exported BF16 weights. The weight file is 607,017,208 bytes (approximately 579 MiB). Its SHA256 and provenance are in checkpointinfo.json. frames must be RGB, normalized to [0, 1], with shape [N, 3, 256, 256]. The training preprocessing pads…
Open weights
apache-2.0
R
Model · Image feature extraction
RKNNAI
本仓库提供由 google/siglip2-so400m-patch14-384 转换的 RKNN 模型。 - Model ID:RKNNAI/RK182X-VIT-siglip2-so400m-patch14-384 - 模型显示名称:RK182X-VIT-siglip2-so400m-patch14-384 - 源模型:google/siglip2-so400m-patch14-384 - 模型类型:VIT ModelScope 完整下载: Hugging Face 完整下载: ModelScope 指定配置下载: Hugging Face 指定配置下载: - 使用配套 RKNN Runtime 和驱动;运行前用 rknn-smi -v 检查设备端版本。 - 源模型许可证:Apache License 2.0,正文见 LICENSE,归属与转换修改说明见 NOTICE。 - 同时遵守 RKNN Toolkit、RKNN Runtime 相关许可;本包不包含运行库。
Open weights
apache-2.0
R
Model · Image feature extraction
RKNNAI
本仓库提供由 google/siglip-so400m-patch14-384 转换的 RKNN 模型。 - Model ID:RKNNAI/RK182X-VIT-siglip-so400m-patch14-384 - 模型显示名称:RK182X-VIT-siglip-so400m-patch14-384 - 源模型:google/siglip-so400m-patch14-384 - 模型类型:VIT ModelScope 完整下载: Hugging Face 完整下载: ModelScope 指定配置下载: Hugging Face 指定配置下载: - 使用配套 RKNN Runtime 和驱动;运行前用 rknn-smi -v 检查设备端版本。 - 源模型许可证:Apache License 2.0,正文见 LICENSE,归属与转换修改说明见 NOTICE。 - 同时遵守 RKNN Toolkit、RKNN Runtime 相关许可;本包不包含运行库。
Open weights
apache-2.0
R
Model · Image feature extraction
RKNNAI
本仓库提供由 facebook/dinov3-vitl16-pretrain-lvd1689m 转换的 RKNN 模型。 - Model ID:RKNNAI/RK182X-VIT-dinov3-vitl16-pretrain-lvd1689m - 模型显示名称:RK182X-VIT-dinov3-vitl16-pretrain-lvd1689m - 源模型:facebook/dinov3-vitl16-pretrain-lvd1689m - 模型类型:VIT ModelScope 完整下载: Hugging Face 完整下载: ModelScope 指定配置下载: Hugging Face 指定配置下载: - 使用配套 RKNN Runtime 和驱动;运行前用 rknn-smi -v 检查设备端版本。 - 源模型许可证:DINOv3 License,正文见 LICENSE,归属与转换修改说明见 NOTICE。 - 同时遵守 RKNN Toolkit、RKNN Runtime 相关许可;本包不包含运行库。
Open weights
other
R
Model · Image feature extraction
RKNNAI
本仓库提供由 facebookresearch/dinov2 转换的 RKNN 模型。 - Model ID:RKNNAI/RK182X-VIT-dinov2vits14 - 模型显示名称:RK182X-VIT-dinov2vits14 - 源模型:facebookresearch/dinov2 - 模型类型:VIT ModelScope 完整下载: Hugging Face 完整下载: ModelScope 指定配置下载: Hugging Face 指定配置下载: - 使用配套 RKNN Runtime 和驱动;运行前用 rknn-smi -v 检查设备端版本。 - 源模型许可证:Apache License 2.0,正文见 LICENSE,归属与转换修改说明见 NOTICE。 - 同时遵守 RKNN Toolkit、RKNN Runtime 相关许可;本包不包含运行库。
Open weights
apache-2.0