Image-Text-to-Text
sam2
English
agriculture
multimodal
vision-language
visual-grounding
image-segmentation
grounded-caption-generation
referring-expression-segmentation
bioclip
dinov3
Instructions to use boudiafA/AgriScope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sam2
How to use boudiafA/AgriScope with sam2:
# Use SAM2 with images import torch from sam2.sam2_image_predictor import SAM2ImagePredictor predictor = SAM2ImagePredictor.from_pretrained(boudiafA/AgriScope) with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16): predictor.set_image(<your_image>) masks, _, _ = predictor.predict(<input_prompts>)# Use SAM2 with videos import torch from sam2.sam2_video_predictor import SAM2VideoPredictor predictor = SAM2VideoPredictor.from_pretrained(boudiafA/AgriScope) with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16): state = predictor.init_state(<your_video>) # add new prompts and instantly get the output on the same frame frame_idx, object_ids, masks = predictor.add_new_points(state, <your_prompts>): # propagate the prompts to get masklets throughout the video for frame_idx, object_ids, masks in predictor.propagate_in_video(state): ... - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- arabica_coffee_leaf_disease_classification
- banana_leaf_disease_classification
- bean_disease_uganda
- betel_leaf_disease_classification
- blackgram_plant_leaf_disease_classification
- chilli_leaf_classification
- coconut_tree_disease_classification
- corn_maize_leaf_disease
- crop_weeds_greece
- cucumber_disease_classification
- guava_disease_pakistan
- java_plum_leaf_disease_classification
- leaf_counting_denmark
- onion_leaf_classification
- orange_leaf_disease_classification
- paddy_disease_classification
- papaya_leaf_disease_classification
- plant_doc_classification
- plant_seedlings_aarhus
- plant_village_classification
- rangeland_weeds_australia
- rice_leaf_disease_classification
- riseholme_strawberry_classification_2021
- sunflower_disease_classification
- tea_leaf_disease_classification
- tomato_leaf_disease
- vine_virus_photo_dataset