Thanks for nice work . I have seen the "demo.gif" which is the output of the model which is trained on the "AVA-Dataset" .Now I want to convert my custom dataset into "AVA-Dataset Format" and want to train a model using your given code ...
cd /home/Custom-ava-dataset_Custom-Spatio-Temporally-Action-Video-Dataset/Dataset sh cut_video.sh 4.3 视频抽帧 参考ava数据集,每秒裁剪30帧 在/home/Custom-ava-dataset_Custom-Spatio-Temporally-Action-Video-Dataset/Dataset 下执行: cd /home/Custom-ava-dataset_Custom-Spatio-Temporally-Action-Video-Datas...
If you want to train with a custom dataset, you can refer tothis guideto organize your dataset format and specify--dataset <dataset_path>. The--model_authorand--model_nameparameters are only effective when the dataset includesswift/self-cognition. ...
Contributions 网络架构 两阶段训练 Dataset 实验结果 更强的LLaVA 1.5 更更强的LLaVA 1.6 动态高分辨率 数据混合 扩展LLM骨干网络 LLaVA 1.6 结果 自有数据微调 相关工作:LLaVA-Med LLaVA-Med Ablation Study 就在前两天LLaVA 1.6发布了,带来了更大的分辨率,更强的LLM,在最后补充了这一部分的介绍。LL...
--group_by_modality_length True: this should only be used when your instruction tuning dataset contains both language (e.g. ShareGPT) and multimodal (e.g. LLaVA-Instruct). It makes the training sampler only sample a single modality (either image or language) during training, which we obser...
If you already have CC-3M dataset on your disk, the image names follow this format:GCC_train_000000000.jpg. You may edit theimagefield correspondingly if necessary. Important notice: Upon the request from the community, as ~15% images of the original CC-3M dataset are no longer accessible...
fromnemo.collectionsimportvlmfromnemo.collections.llmimportimport_ckptif__name__=='__main__':model_id="OpenGVLab/InternViT-300M-448px-V2_5"model=vlm.InternViTModel(vlm.InternViT_300M_448px_Config())import_ckpt(model=model,source=f'hf://{model_id}',) ...
("llava-hf/llava-v1.6-mistral-7b-hf")# Paths and configurationdata_path="<path_to_dataset>"image_processor=processor.image_processortokenizer=processor.tokenizer# Define multimodal sample configurationmultimodal_sample_config=MultiModalSampleConfig()# Initialize the LLaVA-Next task encodertask_encoder=...
showimportnumpyasnpimportcv2fromsklearn.utilsimportshuffledeftransformer(origin_csv_path,frame_image_dir,train_output_pkl_path,train_output_csv_path,valid_output_pkl_path,valid_output_csv_path,exclude_train_output_csv_path,exclude_valid_output_csv_path,out_action_list,out_labelmap_path,dataset_...
xtuner/llava-llama-3-8b-v1_1 Details Model Visual Encoder Projector Resolution Pretraining Strategy Fine-tuning Strategy Pretrain Dataset Fine-tune Dataset LLaVA-v1.5-7B CLIP-L MLP 336 Frozen LLM, Frozen ViT Full LLM, Frozen ViT LLaVA-PT (558K) LLaVA-Mix (665K) LLaVA-Llama-3-8B CLI...