anychest / checkpoints.json
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Publish AnyCXR frontal, lateral, oblique and all-view checkpoints
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{
"schema": "anycxr_hf_checkpoint_release.v1",
"project": "AnyCXR",
"model_groups": 4,
"checkpoint_files": 8,
"models": {
"ap_pa": {
"display_name": "AP+PA",
"supported_views": [
"AP",
"PA"
],
"artifacts": {
"full": {
"path": "full/ap_pa.pt",
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"inference": {
"path": "inference/ap_pa.pt",
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"bytes": 1001840652
}
}
},
"la": {
"display_name": "LA",
"supported_views": [
"LA"
],
"artifacts": {
"full": {
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"inference": {
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},
"ob": {
"display_name": "OB",
"supported_views": [
"225",
"45",
"675",
"1125",
"135",
"1575"
],
"artifacts": {
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"inference": {
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},
"all_views": {
"display_name": "大全套",
"supported_views": [
"AP",
"PA",
"LA",
"225",
"45",
"675",
"1125",
"135",
"1575"
],
"artifacts": {
"full": {
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"inference": {
"path": "inference/all_views.pt",
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"bytes": 1001839691
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}
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},
"formats": {
"ap_pa_inference": "anycxr_convnextv2_frontal_v1",
"multiview_inference": "anycxr_convnextv2_multiview_v1",
"full": "Native full checkpoints containing model, optimizer, scheduler, configuration and per-rank RNG state."
},
"class_reference": "class_names.json",
"architecture": "ConvNeXt V2 Large with CAS-lite and AMFS; JTR disabled",
"training_continuation": "Full files are selected best-epoch states, not inference-only files. They can initialize further training. Extending a completed phase requires an explicit new training budget and compatible trainer; automatic same-phase continuation is not promised."
}