deepghs/ccip_onnx

By deepghs · ↓ 0 · ♥ 8 · Updated 2024-09-09

What's in this repo

This page lists the files in deepghs/ccip_onnx, including model_feat.onnx, model_metrics.onnx and more.

20 ONNX models (.onnx files)
122 files, including 70 .png, 20 .json, 20 .onnx, 10 .ckpt, 1 .md
Last updated 2024-09-09

ONNX files

File	Size	Download
ccip-caformer-2-randaug-pruned_fp32/model_feat.onnx	—	Download
ccip-caformer-2-randaug-pruned_fp32/model_metrics.onnx	—	Download
ccip-caformer-23_randaug_fp32/model_feat.onnx	—	Download
ccip-caformer-23_randaug_fp32/model_metrics.onnx	—	Download
ccip-caformer-24-randaug-pruned/model_feat.onnx	—	Download
ccip-caformer-24-randaug-pruned/model_metrics.onnx	—	Download
ccip-caformer-2_fp32/model_feat.onnx	—	Download
ccip-caformer-2_fp32/model_metrics.onnx	—	Download
ccip-caformer-4_fp32/model_feat.onnx	—	Download
ccip-caformer-4_fp32/model_metrics.onnx	—	Download

Showing 10 of 20 .onnx files — see the full file list on the right.

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

Model	F1 Score	Precision	Recall	Threshold	Cluster_2	Cluster_Free
ccip-caformer_b36-24	0.940925	0.938254	0.943612	0.213231	0.89508	0.957017
ccip-caformer-24-randaug-pruned	0.917211	0.933481	0.901499	0.178475	0.890366	0.922375
ccip-v2-caformer_s36-10	0.906422	0.932779	0.881513	0.207757	0.874592	0.89241
ccip-caformer-6-randaug-pruned_fp32	0.878403	0.893648	0.863669	0.195122	0.810176	0.897904
ccip-caformer-5_fp32	0.864363	0.90155	0.830121	0.183973	0.792051	0.862289
ccip-caformer-4_fp32	0.844967	0.870553	0.820842	0.18367	0.795565	0.868133
ccip-caformer_query-12	0.823928	0.871122	0.781585	0.141308	0.787237	0.809426
ccip-caformer-23_randaug_fp32	0.81625	0.854134	0.781585	0.136797	0.745697	0.8068
ccip-caformer-2-randaug-pruned_fp32	0.78561	0.800148	0.771592	0.171053	0.686617	0.728195
ccip-caformer-2_fp32	0.755125	0.790172	0.723055	0.141275	0.64977	0.718516

The calculation of F1 Score, Precision, and Recall considers "the characters in both images are the same" as a positive case. Threshold is determined by finding the maximum value on the F1 Score curve.
Cluster_2 represents the approximate optimal clustering solution obtained by tuning the eps value in DBSCAN clustering algorithm with min_samples set to 2, and evaluating the similarity between the obtained clusters and the true distribution using the random_adjust_score.
Cluster_Free represents the approximate optimal solution obtained by tuning the max_eps and min_samples values in the OPTICS clustering algorithm, and evaluating the similarity between the obtained clusters and the true distribution using the random_adjust_score.

Model info

zero-shot-image-classification

onnx art zero-shot-image-classification dataset:deepghs/character_similarity base_model:deepghs/ccip base_model:quantized:deepghs/ccip license:openrail region:us

↓ 0 ♥ 8

Created: 2023-06-25

Updated: 2024-09-09

View on Hugging Face

Files (122)

.gitattributes

README.md

ccip-caformer-2-randaug-pruned_fp32/cluster.json

ccip-caformer-2-randaug-pruned_fp32/metrics.json

ccip-caformer-2-randaug-pruned_fp32/model.ckpt

ccip-caformer-2-randaug-pruned_fp32/model_feat.onnx ONNX

ccip-caformer-2-randaug-pruned_fp32/model_metrics.onnx ONNX

ccip-caformer-2-randaug-pruned_fp32/plt_confusion_matrix_pred.png

ccip-caformer-2-randaug-pruned_fp32/plt_confusion_matrix_true.png

ccip-caformer-2-randaug-pruned_fp32/plt_f1.png

ccip-caformer-2-randaug-pruned_fp32/plt_pr.png

ccip-caformer-2-randaug-pruned_fp32/plt_precision.png

ccip-caformer-2-randaug-pruned_fp32/plt_recall.png

ccip-caformer-2-randaug-pruned_fp32/plt_roc.png

ccip-caformer-23_randaug_fp32/cluster.json

ccip-caformer-23_randaug_fp32/metrics.json

ccip-caformer-23_randaug_fp32/model.ckpt

ccip-caformer-23_randaug_fp32/model_feat.onnx ONNX

ccip-caformer-23_randaug_fp32/model_metrics.onnx ONNX

ccip-caformer-23_randaug_fp32/plt_confusion_matrix_pred.png

ccip-caformer-23_randaug_fp32/plt_confusion_matrix_true.png

ccip-caformer-23_randaug_fp32/plt_f1.png

ccip-caformer-23_randaug_fp32/plt_pr.png

ccip-caformer-23_randaug_fp32/plt_precision.png

ccip-caformer-23_randaug_fp32/plt_recall.png

ccip-caformer-23_randaug_fp32/plt_roc.png

ccip-caformer-24-randaug-pruned/cluster.json

ccip-caformer-24-randaug-pruned/metrics.json

ccip-caformer-24-randaug-pruned/model.ckpt

ccip-caformer-24-randaug-pruned/model_feat.onnx ONNX

ccip-caformer-24-randaug-pruned/model_metrics.onnx ONNX

ccip-caformer-24-randaug-pruned/plt_confusion_matrix_pred.png

ccip-caformer-24-randaug-pruned/plt_confusion_matrix_true.png

ccip-caformer-24-randaug-pruned/plt_f1.png

ccip-caformer-24-randaug-pruned/plt_pr.png

ccip-caformer-24-randaug-pruned/plt_precision.png

ccip-caformer-24-randaug-pruned/plt_recall.png

ccip-caformer-24-randaug-pruned/plt_roc.png

ccip-caformer-2_fp32/cluster.json

ccip-caformer-2_fp32/metrics.json

ccip-caformer-2_fp32/model.ckpt

ccip-caformer-2_fp32/model_feat.onnx ONNX

ccip-caformer-2_fp32/model_metrics.onnx ONNX

ccip-caformer-2_fp32/plt_confusion_matrix_pred.png

ccip-caformer-2_fp32/plt_confusion_matrix_true.png

ccip-caformer-2_fp32/plt_f1.png

ccip-caformer-2_fp32/plt_pr.png

ccip-caformer-2_fp32/plt_precision.png

ccip-caformer-2_fp32/plt_recall.png

ccip-caformer-2_fp32/plt_roc.png

ccip-caformer-4_fp32/cluster.json

ccip-caformer-4_fp32/metrics.json

ccip-caformer-4_fp32/model.ckpt

ccip-caformer-4_fp32/model_feat.onnx ONNX

ccip-caformer-4_fp32/model_metrics.onnx ONNX

ccip-caformer-4_fp32/plt_confusion_matrix_pred.png

ccip-caformer-4_fp32/plt_confusion_matrix_true.png

ccip-caformer-4_fp32/plt_f1.png

ccip-caformer-4_fp32/plt_pr.png

ccip-caformer-4_fp32/plt_precision.png

ccip-caformer-4_fp32/plt_recall.png

ccip-caformer-4_fp32/plt_roc.png

ccip-caformer-5_fp32/cluster.json

ccip-caformer-5_fp32/metrics.json

ccip-caformer-5_fp32/model.ckpt

ccip-caformer-5_fp32/model_feat.onnx ONNX

ccip-caformer-5_fp32/model_metrics.onnx ONNX

ccip-caformer-5_fp32/plt_confusion_matrix_pred.png

ccip-caformer-5_fp32/plt_confusion_matrix_true.png

ccip-caformer-5_fp32/plt_f1.png

ccip-caformer-5_fp32/plt_pr.png

ccip-caformer-5_fp32/plt_precision.png

ccip-caformer-5_fp32/plt_recall.png

ccip-caformer-5_fp32/plt_roc.png

ccip-caformer-6-randaug-pruned_fp32/cluster.json

ccip-caformer-6-randaug-pruned_fp32/metrics.json

ccip-caformer-6-randaug-pruned_fp32/model.ckpt

ccip-caformer-6-randaug-pruned_fp32/model_feat.onnx ONNX

ccip-caformer-6-randaug-pruned_fp32/model_metrics.onnx ONNX

ccip-caformer-6-randaug-pruned_fp32/plt_confusion_matrix_pred.png

ccip-caformer-6-randaug-pruned_fp32/plt_confusion_matrix_true.png

ccip-caformer-6-randaug-pruned_fp32/plt_f1.png

ccip-caformer-6-randaug-pruned_fp32/plt_pr.png

ccip-caformer-6-randaug-pruned_fp32/plt_precision.png

ccip-caformer-6-randaug-pruned_fp32/plt_recall.png

ccip-caformer-6-randaug-pruned_fp32/plt_roc.png

ccip-caformer_b36-24/cluster.json

ccip-caformer_b36-24/metrics.json

ccip-caformer_b36-24/model.ckpt

ccip-caformer_b36-24/model_feat.onnx ONNX

ccip-caformer_b36-24/model_metrics.onnx ONNX

ccip-caformer_b36-24/plt_confusion_matrix_pred.png

ccip-caformer_b36-24/plt_confusion_matrix_true.png

ccip-caformer_b36-24/plt_f1.png

ccip-caformer_b36-24/plt_pr.png

ccip-caformer_b36-24/plt_precision.png

ccip-caformer_b36-24/plt_recall.png

ccip-caformer_b36-24/plt_roc.png

ccip-caformer_query-12/cluster.json

ccip-caformer_query-12/metrics.json

ccip-caformer_query-12/model.ckpt

ccip-caformer_query-12/model_feat.onnx ONNX

ccip-caformer_query-12/model_metrics.onnx ONNX

ccip-caformer_query-12/plt_confusion_matrix_pred.png

ccip-caformer_query-12/plt_confusion_matrix_true.png

ccip-caformer_query-12/plt_f1.png

ccip-caformer_query-12/plt_pr.png

ccip-caformer_query-12/plt_precision.png

ccip-caformer_query-12/plt_recall.png

ccip-caformer_query-12/plt_roc.png

ccip-v2-caformer_s36-10/cluster.json

ccip-v2-caformer_s36-10/metrics.json

ccip-v2-caformer_s36-10/model.ckpt

ccip-v2-caformer_s36-10/model_feat.onnx ONNX

ccip-v2-caformer_s36-10/model_metrics.onnx ONNX

ccip-v2-caformer_s36-10/plt_confusion_matrix_pred.png

ccip-v2-caformer_s36-10/plt_confusion_matrix_true.png

ccip-v2-caformer_s36-10/plt_f1.png

ccip-v2-caformer_s36-10/plt_pr.png

ccip-v2-caformer_s36-10/plt_precision.png

ccip-v2-caformer_s36-10/plt_recall.png

ccip-v2-caformer_s36-10/plt_roc.png

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