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* Add florence2-base model for all tasks * Update annotator.rs
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@@ -18,26 +18,24 @@ fn main() -> anyhow::Result<()> { | |
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| // build dataloader | ||
| let dl = DataLoader::new( | ||
| // "images/bus.jpg", // remote image | ||
| // "../images", // image folder | ||
| // "../demo.mp4", // local video | ||
| // "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4", // remote video | ||
| // "rtsp://admin:[email protected]:554/h265/ch1/", // rtsp h264 stream | ||
| "./assets/bus.jpg", // local image | ||
| // "images/bus.jpg", // remote image | ||
| // "../images", // image folder | ||
| // "../demo.mp4", // local video | ||
| // "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4", // remote video | ||
| // "rtsp://admin:[email protected]:554/h265/ch1/", // rtsp h264 stream | ||
| )? | ||
| .with_batch(1) | ||
| .with_progress_bar(true) | ||
| .with_bound(100) | ||
| .build()?; | ||
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| // // build annotator | ||
| // build annotator | ||
| let annotator = Annotator::new() | ||
| .with_bboxes_thickness(4) | ||
| .with_saveout("YOLO-DataLoader"); | ||
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| // run | ||
| for (xs, _) in dl { | ||
| // std::thread::sleep(std::time::Duration::from_millis(1000)); | ||
| // std::thread::sleep(std::time::Duration::from_millis(100)); | ||
| let ys = model.forward(&xs, false)?; | ||
| annotator.annotate(&xs, &ys); | ||
| } | ||
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| use usls::{models::Florence2, Annotator, DataLoader, Options, Task}; | ||
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| fn main() -> Result<(), Box<dyn std::error::Error>> { | ||
| // vision encoder | ||
| let options_vision_encoder = Options::default() | ||
| .with_model("florence2/base-vision-encoder.onnx")? | ||
| .with_i00((1, 2, 4).into()) | ||
| .with_i02((512, 768, 800).into()) | ||
| .with_i03((512, 768, 800).into()) | ||
| .with_profile(false) | ||
| .with_cuda(0); | ||
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| // text embed | ||
| let options_text_embed = Options::default() | ||
| .with_model("florence2/base-embed-tokens.onnx")? | ||
| .with_i00((1, 2, 4).into()) | ||
| .with_i01((1, 2, 20).into()) // seq_length | ||
| .with_tokenizer("florence2/tokenizer.json")? | ||
| .with_profile(false); | ||
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| // transformer encoder | ||
| let options_encoder = Options::default() | ||
| .with_model("florence2/base-encoder.onnx")? | ||
| .with_i00((1, 2, 4).into()) | ||
| .with_i01((1, 2, 300).into()) // encoder_sequence_length | ||
| .with_i10((1, 2, 4).into()) | ||
| .with_i11((1, 2, 300).into()) // encoder_sequence_length | ||
| .with_profile(false); | ||
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| // transformer decoder | ||
| let options_decoder = Options::default() | ||
| .with_model("florence2/base-decoder.onnx")? | ||
| .with_i00((1, 2, 4).into()) | ||
| .with_i01((1, 2, 300).into()) // encoder_sequence_length | ||
| .with_i10((1, 2, 4).into()) | ||
| .with_i11((1, 2, 300).into()) // encoder_sequence_length | ||
| .with_i20((1, 2, 4).into()) | ||
| .with_i21((1, 2, 300).into()) // encoder_sequence_length | ||
| .with_profile(false); | ||
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| // transformer decoder merged | ||
| let options_decoder_merged = Options::default() | ||
| .with_model("florence2/base-decoder-merged.onnx")? | ||
| // encoder_attention_mask | ||
| .with_i00((1, 2, 4).into()) | ||
| .with_i01((1, 2, 300).into()) // encoder_sequence_length | ||
| // encoder_hidden_states | ||
| .with_i10((1, 2, 4).into()) | ||
| .with_i11((1, 2, 300).into()) // encoder_sequence_length | ||
| // inputs_embeds | ||
| .with_i20((1, 2, 4).into()) | ||
| .with_i21((1, 2, 300).into()) // encoder_sequence_length | ||
| // past_key_values.0.decoder.key | ||
| .with_i30((1, 2, 4).into()) | ||
| .with_i32_((1, 2, 1).into()) | ||
| // past_key_values.0.decoder.value | ||
| .with_i40((1, 2, 4).into()) | ||
| .with_i42((1, 2, 1).into()) | ||
| // past_key_values.0.encoder.key | ||
| .with_i50((1, 2, 4).into()) | ||
| .with_i52((1, 2, 1).into()) | ||
| // past_key_values.0.decoder.value | ||
| .with_i60((1, 2, 4).into()) | ||
| .with_i62((1, 2, 1).into()) | ||
| // past_key_values.1.decoder.key | ||
| .with_i70((1, 2, 4).into()) | ||
| .with_i72((1, 2, 1).into()) | ||
| // past_key_values.1.decoder.value | ||
| .with_i80((1, 2, 4).into()) | ||
| .with_i82((1, 2, 1).into()) | ||
| // past_key_values.1.encoder.key | ||
| .with_i90((1, 2, 4).into()) | ||
| .with_i92((1, 2, 1).into()) | ||
| // past_key_values.1.decoder.value | ||
| .with_i100((1, 2, 4).into()) | ||
| .with_i102((1, 2, 1).into()) | ||
| // past_key_values.2.decoder.key | ||
| .with_i110((1, 2, 4).into()) | ||
| .with_i112((1, 2, 1).into()) | ||
| // past_key_values.2.decoder.value | ||
| .with_i120((1, 2, 4).into()) | ||
| .with_i122((1, 2, 1).into()) | ||
| // past_key_values.2.encoder.key | ||
| .with_i130((1, 2, 4).into()) | ||
| .with_i132((1, 2, 1).into()) | ||
| // past_key_values.2.decoder.value | ||
| .with_i140((1, 2, 4).into()) | ||
| .with_i142((1, 2, 1).into()) | ||
| // past_key_values.3.decoder.key | ||
| .with_i150((1, 2, 4).into()) | ||
| .with_i152((1, 2, 1).into()) | ||
| // past_key_values.3.decoder.value | ||
| .with_i160((1, 2, 4).into()) | ||
| .with_i162((1, 2, 1).into()) | ||
| // past_key_values.3.encoder.key | ||
| .with_i170((1, 2, 4).into()) | ||
| .with_i172((1, 2, 1).into()) | ||
| // past_key_values.3.decoder.value | ||
| .with_i180((1, 2, 4).into()) | ||
| .with_i182((1, 2, 1).into()) | ||
| // past_key_values.4.decoder.key | ||
| .with_i190((1, 2, 4).into()) | ||
| .with_i192((1, 2, 1).into()) | ||
| // past_key_values.4.decoder.value | ||
| .with_i200((1, 2, 4).into()) | ||
| .with_i202((1, 2, 1).into()) | ||
| // past_key_values.4.encoder.key | ||
| .with_i210((1, 2, 4).into()) | ||
| .with_i212((1, 2, 1).into()) | ||
| // past_key_values.4.decoder.value | ||
| .with_i220((1, 2, 4).into()) | ||
| .with_i222((1, 2, 1).into()) | ||
| // past_key_values.5.decoder.key | ||
| .with_i230((1, 2, 4).into()) | ||
| .with_i232((1, 2, 1).into()) | ||
| // past_key_values.5.decoder.value | ||
| .with_i240((1, 2, 4).into()) | ||
| .with_i242((1, 2, 1).into()) | ||
| // past_key_values.5.encoder.key | ||
| .with_i250((1, 2, 4).into()) | ||
| .with_i252((1, 2, 1).into()) | ||
| // past_key_values.5.decoder.value | ||
| .with_i260((1, 2, 4).into()) | ||
| .with_i262((1, 2, 1).into()) | ||
| //use_cache_branch | ||
| .with_i270((1, 2, 1).into()) | ||
| .with_profile(false); | ||
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| // build model | ||
| let mut model = Florence2::new( | ||
| options_vision_encoder, | ||
| options_text_embed, | ||
| options_encoder, | ||
| options_decoder, | ||
| options_decoder_merged, | ||
| )?; | ||
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| // load images | ||
| let xs = [ | ||
| // DataLoader::try_read("florence2/car.jpg")?, // for testing region-related tasks | ||
| DataLoader::try_read("florence2/car.jpg")?, | ||
| // DataLoader::try_read("images/db.png")?, | ||
| DataLoader::try_read("assets/bus.jpg")?, | ||
| ]; | ||
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| // region-related tasks | ||
| let quantizer = usls::Quantizer::default(); | ||
| // let coords = [449., 270., 556., 372.]; // wheel | ||
| let coords = [31., 156., 581., 373.]; // car | ||
| let (width_car, height_car) = (xs[0].width(), xs[0].height()); | ||
| let quantized_coords = quantizer.quantize(&coords, (width_car as _, height_car as _)); | ||
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| // run with tasks | ||
| let ys = model.run_with_tasks( | ||
| &xs, | ||
| &[ | ||
| // w/ inputs | ||
| Task::Caption(0), | ||
| Task::Caption(1), | ||
| Task::Caption(2), | ||
| Task::Ocr, | ||
| Task::OcrWithRegion, | ||
| Task::RegionProposal, | ||
| Task::ObjectDetection, | ||
| Task::DenseRegionCaption, | ||
| // w/o inputs | ||
| Task::OpenSetDetection("a vehicle".into()), | ||
| Task::CaptionToPhraseGrounding( | ||
| "A vehicle with two wheels parked in front of a building.".into(), | ||
| ), | ||
| Task::ReferringExpressionSegmentation("a vehicle".into()), | ||
| Task::RegionToSegmentation( | ||
| quantized_coords[0], | ||
| quantized_coords[1], | ||
| quantized_coords[2], | ||
| quantized_coords[3], | ||
| ), | ||
| Task::RegionToCategory( | ||
| quantized_coords[0], | ||
| quantized_coords[1], | ||
| quantized_coords[2], | ||
| quantized_coords[3], | ||
| ), | ||
| Task::RegionToDescription( | ||
| quantized_coords[0], | ||
| quantized_coords[1], | ||
| quantized_coords[2], | ||
| quantized_coords[3], | ||
| ), | ||
| ], | ||
| )?; | ||
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| // annotator | ||
| let annotator = Annotator::new() | ||
| .without_bboxes_conf(true) | ||
| .with_bboxes_thickness(3) | ||
| .with_saveout_subs(&["Florence2"]); | ||
| for (task, ys_) in ys.iter() { | ||
| match task { | ||
| Task::Caption(_) | ||
| | Task::Ocr | ||
| | Task::RegionToCategory(..) | ||
| | Task::RegionToDescription(..) => { | ||
| println!("Task: {:?}\n{:?}\n", task, ys_) | ||
| } | ||
| Task::DenseRegionCaption => { | ||
| let annotator = annotator.clone().with_saveout("Dense-Region-Caption"); | ||
| annotator.annotate(&xs, ys_); | ||
| } | ||
| Task::RegionProposal => { | ||
| let annotator = annotator | ||
| .clone() | ||
| .without_bboxes_name(false) | ||
| .with_saveout("Region-Proposal"); | ||
|
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| annotator.annotate(&xs, ys_); | ||
| } | ||
| Task::ObjectDetection => { | ||
| let annotator = annotator.clone().with_saveout("Object-Detection"); | ||
| annotator.annotate(&xs, ys_); | ||
| } | ||
| Task::OpenSetDetection(_) => { | ||
| let annotator = annotator.clone().with_saveout("Open-Set-Detection"); | ||
| annotator.annotate(&xs, ys_); | ||
| } | ||
| Task::CaptionToPhraseGrounding(_) => { | ||
| let annotator = annotator | ||
| .clone() | ||
| .with_saveout("Caption-To-Phrase-Grounding"); | ||
| annotator.annotate(&xs, ys_); | ||
| } | ||
| Task::ReferringExpressionSegmentation(_) => { | ||
| let annotator = annotator | ||
| .clone() | ||
| .with_saveout("Referring-Expression-Segmentation"); | ||
| annotator.annotate(&xs, ys_); | ||
| } | ||
| Task::RegionToSegmentation(..) => { | ||
| let annotator = annotator.clone().with_saveout("Region-To-Segmentation"); | ||
| annotator.annotate(&xs, ys_); | ||
| } | ||
| Task::OcrWithRegion => { | ||
| let annotator = annotator.clone().with_saveout("Ocr-With-Region"); | ||
| annotator.annotate(&xs, ys_); | ||
| } | ||
|
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| _ => (), | ||
| } | ||
| } | ||
|
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| Ok(()) | ||
| } |
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