Upload DetrForSegmentation

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "DetrForSegmentation"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": "resnet50",
+  "backbone_config": null,
+  "backbone_kwargs": {
+    "in_chans": 3,
+    "out_indices": [
+      1,
+      2,
+      3,
+      4
+    ]
+  },
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
+  "classifier_dropout": 0.0,
+  "d_model": 256,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "dice_loss_coefficient": 1,
+  "dilation": false,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_coefficient": 0.1,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "background",
+    "1": "maglia_a_maniche_lunghe_girocollo",
+    "2": "maglia_a_maniche_lunghe_scollo_a_v",
+    "3": "t-shirt_girocollo",
+    "4": "felpa_girocollo_con_icona",
+    "5": "polo_con_icona",
+    "6": "top_sportivo_con_icona",
+    "7": "camicia",
+    "8": "giacca",
+    "9": "felpa_con_cappuccio_con_icona",
+    "10": "blusa",
+    "11": "felpa_con_cappuccio",
+    "12": "maglione_con_fantasia",
+    "13": "bermuda",
+    "14": "bermuda_con_icona",
+    "15": "reggiseno-bra_con_icona",
+    "16": "t-shirt_irocollo_con_icona",
+    "17": "felpa_zip_con_icona",
+    "18": "felpa_zip",
+    "19": "vestito_lungo_girocollo_senza_maniche_con_icona",
+    "20": "pantaloni",
+    "21": "leggins_con_icona",
+    "22": "vestito_girocollo_maniche_corte_con_icona",
+    "23": "pantaloni_joggers_con_icona",
+    "24": "pantaloni_joggers",
+    "25": "vestito_senza_maniche_scollo_a_v_con_icona",
+    "26": "giacca_monopetto",
+    "27": "giacca_doppiopetto",
+    "28": "bomber_collo_baseball",
+    "29": "giacca_antivento_cappuccio",
+    "30": "blouson",
+    "31": "abito",
+    "32": "gilet",
+    "33": "cappotto",
+    "34": "gonna",
+    "35": "giacca_imbottita",
+    "36": "giacca_antivento",
+    "37": "blouson_con_zip",
+    "38": "giubbotto_con_cappuccio",
+    "39": "blouson_con_zip_con_cappuccio",
+    "40": "bomber_con_logo",
+    "41": "giacca_camicia_con_tasca_frontale",
+    "42": "blouson_collo_guru_con_tasca_frontale",
+    "43": "camicia_maniche_corte_con_stampa_all_over",
+    "44": "giacca_monopetto_con_pettorina",
+    "45": "blazer_monopetto"
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "abito": 31,
+    "background": 0,
+    "bermuda": 13,
+    "bermuda_con_icona": 14,
+    "blazer_monopetto": 45,
+    "blouson": 30,
+    "blouson_collo_guru_con_tasca_frontale": 42,
+    "blouson_con_zip": 37,
+    "blouson_con_zip_con_cappuccio": 39,
+    "blusa": 10,
+    "bomber_collo_baseball": 28,
+    "bomber_con_logo": 40,
+    "camicia": 7,
+    "camicia_maniche_corte_con_stampa_all_over": 43,
+    "cappotto": 33,
+    "felpa_con_cappuccio": 11,
+    "felpa_con_cappuccio_con_icona": 9,
+    "felpa_girocollo_con_icona": 4,
+    "felpa_zip": 18,
+    "felpa_zip_con_icona": 17,
+    "giacca": 8,
+    "giacca_antivento": 36,
+    "giacca_antivento_cappuccio": 29,
+    "giacca_camicia_con_tasca_frontale": 41,
+    "giacca_doppiopetto": 27,
+    "giacca_imbottita": 35,
+    "giacca_monopetto": 26,
+    "giacca_monopetto_con_pettorina": 44,
+    "gilet": 32,
+    "giubbotto_con_cappuccio": 38,
+    "gonna": 34,
+    "leggins_con_icona": 21,
+    "maglia_a_maniche_lunghe_girocollo": 1,
+    "maglia_a_maniche_lunghe_scollo_a_v": 2,
+    "maglione_con_fantasia": 12,
+    "pantaloni": 20,
+    "pantaloni_joggers": 24,
+    "pantaloni_joggers_con_icona": 23,
+    "polo_con_icona": 5,
+    "reggiseno-bra_con_icona": 15,
+    "t-shirt_girocollo": 3,
+    "t-shirt_irocollo_con_icona": 16,
+    "top_sportivo_con_icona": 6,
+    "vestito_girocollo_maniche_corte_con_icona": 22,
+    "vestito_lungo_girocollo_senza_maniche_con_icona": 19,
+    "vestito_senza_maniche_scollo_a_v_con_icona": 25
+  },
+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 1024,
+  "model_type": "detr",
+  "num_channels": 3,
+  "num_hidden_layers": 6,
+  "num_queries": 100,
+  "position_embedding_type": "sine",
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0.dev0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:76a8a8383c7eea486c6bda4bea6ef87244fdb255841fbc24ac5cd1bd677157af
+size 171881424