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Add model sidecars: ACDC.pth.config.json, ACDC.pth.provenance.json, BUSI.pth.config.json, BUSI.pth.provenance.json, COVIDQUEx.pth.config.json, COVIDQUEx.pth.provenance.json, DRIVE.pth.config.json, DRIVE.pth.provenance.json, ISIC2018.pth.config.json, ISIC2018.pth.provenance.json, PROMISE12.pth.config.json, PROMISE12.pth.provenance.json, UWaterlooSkinCancer.pth.config.json, UWaterlooSkinCancer.pth.provenance.json (tools/hf_sidecars.py)

Browse files
Files changed (14) hide show
  1. ACDC.pth.config.json +17 -0
  2. ACDC.pth.provenance.json +43 -0
  3. BUSI.pth.config.json +31 -0
  4. BUSI.pth.provenance.json +38 -0
  5. COVIDQUEx.pth.config.json +31 -0
  6. COVIDQUEx.pth.provenance.json +38 -0
  7. DRIVE.pth.config.json +31 -0
  8. DRIVE.pth.provenance.json +38 -0
  9. ISIC2018.pth.config.json +31 -0
  10. ISIC2018.pth.provenance.json +38 -0
  11. PROMISE12.pth.config.json +31 -0
  12. PROMISE12.pth.provenance.json +38 -0
  13. UWaterlooSkinCancer.pth.config.json +31 -0
  14. UWaterlooSkinCancer.pth.provenance.json +38 -0
ACDC.pth.config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "name": "MSRFNet",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 4
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+ }
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+ },
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+ "inference": {
11
+ "size": [
12
+ 256,
13
+ 256
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+ ],
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+ "output_select": "last"
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+ }
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+ }
ACDC.pth.provenance.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/hf-sidecars-provenance/v1",
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+ "repo": "MedOtter/MSRFNet",
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+ "revision": "f67f432520dc5ba530176dff99a982955499df7d",
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+ "filename": "ACDC.pth",
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+ "sha256": "9d2c5c6c78bf66d34e56e4a5829dde9d30603edc84c161ecc288bd51dcf060b0",
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+ "size": 90275333,
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+ "upstream": {
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+ "repo": "FengheTan9/U-Bench",
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+ "path": "MSRFNet/ACDC/checkpoint_best.pth",
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+ "sha256_match": true
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+ },
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+ "training": {
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+ "dataset_name": "ACDC",
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+ "img_size": 256,
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+ "max_epochs": 300,
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+ "max_iterations": 30000,
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+ "do_deeps": 1,
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+ "model_id": 75,
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+ "seed": 41,
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+ "base_lr": 0.01,
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+ "batch_size": 8,
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+ "epoch": 300,
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+ "best_performance": 0.9145956329895331
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+ },
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+ "preprocessing_class": "C",
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+ "intensity_written": false,
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+ "reason": "class C (ACDC): per-volume min-max to [-1, 1], inexpressible as scale/window; no intensity keys are written (the eval door refuses until declared)",
29
+ "verification": {
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+ "strict_load": "pass",
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+ "device": "cpu",
32
+ "torch": "2.13.0+cpu",
33
+ "medotter": "0.1.0",
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+ "parameters": 22506782,
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+ "intensity_overridden_for_probe": [
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+ "input_scale",
37
+ "normalize"
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+ ],
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+ "verified_at": "2026-09-06T21:33:22+00:00"
40
+ },
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+ "generator": "tools/hf_sidecars.py",
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+ "generated_at": "2026-09-06T21:33:22+00:00"
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+ }
BUSI.pth.config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "name": "MSRFNet",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 1
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+ }
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+ },
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+ "inference": {
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+ "size": [
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+ 256,
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+ 256
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+ ],
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+ "scale": 255,
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+ "normalize": {
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+ "mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "std": [
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+ 58.395,
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+ 57.12,
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+ 57.375
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+ ]
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+ },
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+ "threshold": 0.5,
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+ "output_select": "last"
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+ }
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+ }
BUSI.pth.provenance.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/hf-sidecars-provenance/v1",
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+ "repo": "MedOtter/MSRFNet",
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+ "revision": "f67f432520dc5ba530176dff99a982955499df7d",
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+ "filename": "BUSI.pth",
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+ "sha256": "38731cacc5d93d8e8a10920ab18d477cc3b091e256c84e60ebd744d46e819a85",
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+ "size": 90273059,
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+ "upstream": {
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+ "repo": "FengheTan9/U-Bench",
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+ "path": "MSRFNet/busi/checkpoint_best.pth",
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+ "sha256_match": true
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+ },
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+ "training": {
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+ "dataset_name": "busi",
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+ "img_size": 256,
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+ "max_epochs": 300,
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+ "do_deeps": 1,
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+ "model_id": 75,
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+ "seed": 41,
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+ "base_lr": 0.01,
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+ "batch_size": 8,
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+ "epoch": 285
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+ },
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+ "preprocessing_class": "A",
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+ "intensity_written": true,
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+ "reason": "class A (busi) intensity written",
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+ "verification": {
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+ "strict_load": "pass",
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+ "device": "cpu",
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+ "torch": "2.13.0+cpu",
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+ "medotter": "0.1.0",
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+ "parameters": 22506074,
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+ "intensity_overridden_for_probe": [],
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+ "verified_at": "2026-09-06T21:33:25+00:00"
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+ },
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+ "generator": "tools/hf_sidecars.py",
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+ "generated_at": "2026-09-06T21:33:25+00:00"
38
+ }
COVIDQUEx.pth.config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "name": "MSRFNet",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 1
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+ }
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+ },
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+ "inference": {
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+ "size": [
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+ 256,
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+ 256
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+ ],
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+ "scale": 255,
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+ "normalize": {
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+ "mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "std": [
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+ 58.395,
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+ 57.12,
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+ 57.375
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+ ]
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+ },
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+ "threshold": 0.5,
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+ "output_select": "last"
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+ }
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+ }
COVIDQUEx.pth.provenance.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/hf-sidecars-provenance/v1",
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+ "repo": "MedOtter/MSRFNet",
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+ "revision": "f67f432520dc5ba530176dff99a982955499df7d",
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+ "filename": "COVIDQUEx.pth",
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+ "sha256": "03e370ab16fdd050310d1113642eab391b81099a7a9e7123bc3c04a4fec4499d",
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+ "size": 90273123,
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+ "upstream": {
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+ "repo": "FengheTan9/U-Bench",
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+ "path": "MSRFNet/covidquex/checkpoint_best.pth",
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+ "sha256_match": true
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+ },
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+ "training": {
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+ "dataset_name": "covidquex",
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+ "img_size": 256,
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+ "max_epochs": 300,
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+ "do_deeps": 1,
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+ "model_id": 75,
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+ "seed": 41,
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+ "base_lr": 0.01,
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+ "batch_size": 8,
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+ "epoch": 248
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+ },
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+ "preprocessing_class": "A",
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+ "intensity_written": true,
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+ "reason": "class A (covidquex) intensity written",
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+ "verification": {
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+ "strict_load": "pass",
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+ "device": "cpu",
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+ "torch": "2.13.0+cpu",
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+ "medotter": "0.1.0",
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+ "parameters": 22506074,
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+ "intensity_overridden_for_probe": [],
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+ "verified_at": "2026-09-06T21:33:29+00:00"
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+ },
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+ "generator": "tools/hf_sidecars.py",
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+ "generated_at": "2026-09-06T21:33:29+00:00"
38
+ }
DRIVE.pth.config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "name": "MSRFNet",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 1
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+ }
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+ },
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+ "inference": {
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+ "size": [
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+ 256,
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+ 256
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+ ],
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+ "scale": 255,
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+ "normalize": {
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+ "mean": [
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+ 0.485,
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+ 0.456,
20
+ 0.406
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+ ],
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+ "std": [
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+ 58.395,
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+ 57.12,
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+ 57.375
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+ ]
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+ },
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+ "threshold": 0.5,
29
+ "output_select": "last"
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+ }
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+ }
DRIVE.pth.provenance.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/hf-sidecars-provenance/v1",
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+ "repo": "MedOtter/MSRFNet",
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+ "revision": "f67f432520dc5ba530176dff99a982955499df7d",
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+ "filename": "DRIVE.pth",
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+ "sha256": "8240b708233a15b9f5461035295eeb1c2ea48eb8706145d46e9585dbeab0a847",
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+ "size": 90273059,
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+ "upstream": {
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+ "repo": "FengheTan9/U-Bench",
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+ "path": "MSRFNet/DRIVE/checkpoint_best.pth",
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+ "sha256_match": true
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+ },
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+ "training": {
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+ "dataset_name": "DRIVE",
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+ "img_size": 256,
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+ "max_epochs": 300,
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+ "do_deeps": 1,
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+ "model_id": 75,
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+ "seed": 41,
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+ "base_lr": 0.01,
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+ "batch_size": 8,
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+ "epoch": 300
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+ },
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+ "preprocessing_class": "A",
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+ "intensity_written": true,
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+ "reason": "class A (DRIVE) intensity written",
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+ "verification": {
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+ "strict_load": "pass",
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+ "device": "cpu",
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+ "torch": "2.13.0+cpu",
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+ "medotter": "0.1.0",
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+ "parameters": 22506074,
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+ "intensity_overridden_for_probe": [],
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+ "verified_at": "2026-09-06T21:33:34+00:00"
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+ },
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+ "generator": "tools/hf_sidecars.py",
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+ "generated_at": "2026-09-06T21:33:34+00:00"
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+ }
ISIC2018.pth.config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "name": "MSRFNet",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 1
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+ }
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+ },
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+ "inference": {
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+ "size": [
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+ 256,
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+ 256
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+ ],
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+ "scale": 255,
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+ "normalize": {
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+ "mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "std": [
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+ 58.395,
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+ 57.12,
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+ 57.375
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+ ]
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+ },
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+ "threshold": 0.5,
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+ "output_select": "last"
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+ }
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+ }
ISIC2018.pth.provenance.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/hf-sidecars-provenance/v1",
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+ "repo": "MedOtter/MSRFNet",
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+ "revision": "f67f432520dc5ba530176dff99a982955499df7d",
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+ "filename": "ISIC2018.pth",
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+ "sha256": "2f8527326d302c3fac0730f996314ff519f6ef7b821a77a087190cd60160d077",
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+ "size": 90273059,
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+ "upstream": {
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+ "repo": "FengheTan9/U-Bench",
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+ "path": "MSRFNet/isic18/checkpoint_best.pth",
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+ "sha256_match": true
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+ },
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+ "training": {
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+ "dataset_name": "isic18",
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+ "img_size": 256,
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+ "max_epochs": 300,
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+ "do_deeps": 1,
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+ "model_id": 75,
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+ "seed": 41,
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+ "base_lr": 0.01,
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+ "batch_size": 8,
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+ "epoch": 256
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+ },
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+ "preprocessing_class": "A",
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+ "intensity_written": true,
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+ "reason": "class A (isic18) intensity written",
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+ "verification": {
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+ "strict_load": "pass",
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+ "device": "cpu",
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+ "torch": "2.13.0+cpu",
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+ "medotter": "0.1.0",
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+ "parameters": 22506074,
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+ "intensity_overridden_for_probe": [],
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+ "verified_at": "2026-09-06T21:33:38+00:00"
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+ },
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+ "generator": "tools/hf_sidecars.py",
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+ "generated_at": "2026-09-06T21:33:38+00:00"
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+ }
PROMISE12.pth.config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "name": "MSRFNet",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 1
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+ }
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+ },
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+ "inference": {
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+ "size": [
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+ 256,
13
+ 256
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+ ],
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+ "scale": 255,
16
+ "normalize": {
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+ "mean": [
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+ 0.485,
19
+ 0.456,
20
+ 0.406
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+ ],
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+ "std": [
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+ 58.395,
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+ 57.12,
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+ 57.375
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+ ]
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+ },
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+ "threshold": 0.5,
29
+ "output_select": "last"
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+ }
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+ }
PROMISE12.pth.provenance.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/hf-sidecars-provenance/v1",
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+ "repo": "MedOtter/MSRFNet",
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+ "revision": "f67f432520dc5ba530176dff99a982955499df7d",
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+ "filename": "PROMISE12.pth",
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+ "sha256": "7712f396adbf5d67197611f58ea6b59f6261edff12084db09e4ad2c9418d070c",
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+ "size": 90272646,
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+ "upstream": {
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+ "repo": "FengheTan9/U-Bench",
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+ "path": "MSRFNet/promise12/checkpoint_best.pth",
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+ "sha256_match": true
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+ },
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+ "training": {
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+ "dataset_name": "promise12",
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+ "img_size": 256,
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+ "max_epochs": 300,
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+ "do_deeps": 1,
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+ "model_id": 75,
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+ "seed": 41,
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+ "base_lr": 0.01,
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+ "batch_size": 8,
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+ "epoch": 300
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+ },
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+ "preprocessing_class": "A",
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+ "intensity_written": true,
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+ "reason": "class A (promise12) intensity written",
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+ "verification": {
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+ "strict_load": "pass",
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+ "device": "cpu",
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+ "torch": "2.13.0+cpu",
31
+ "medotter": "0.1.0",
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+ "parameters": 22506074,
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+ "intensity_overridden_for_probe": [],
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+ "verified_at": "2026-09-06T21:33:43+00:00"
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+ },
36
+ "generator": "tools/hf_sidecars.py",
37
+ "generated_at": "2026-09-06T21:33:43+00:00"
38
+ }
UWaterlooSkinCancer.pth.config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/model-sidecar/v1",
3
+ "model": {
4
+ "name": "MSRFNet",
5
+ "args": {
6
+ "input_channel": 3,
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+ "num_classes": 1
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+ }
9
+ },
10
+ "inference": {
11
+ "size": [
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+ 256,
13
+ 256
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+ ],
15
+ "scale": 255,
16
+ "normalize": {
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+ "mean": [
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+ 0.485,
19
+ 0.456,
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+ 0.406
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+ ],
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+ "std": [
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+ 58.395,
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+ 57.12,
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+ 57.375
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+ ]
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+ },
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+ "threshold": 0.5,
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+ "output_select": "last"
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+ }
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+ }
UWaterlooSkinCancer.pth.provenance.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "medotter/hf-sidecars-provenance/v1",
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+ "repo": "MedOtter/MSRFNet",
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+ "revision": "f67f432520dc5ba530176dff99a982955499df7d",
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+ "filename": "UWaterlooSkinCancer.pth",
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+ "sha256": "c3108a72eb35ac128f11d78eb9be83f5b5824abed5df1c7ac599f807c157bf2a",
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+ "size": 90272646,
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+ "upstream": {
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+ "repo": "FengheTan9/U-Bench",
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+ "path": "MSRFNet/uwaterlooskincancer/checkpoint_best.pth",
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+ "sha256_match": true
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+ },
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+ "training": {
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+ "dataset_name": "uwaterlooskincancer",
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+ "img_size": 256,
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+ "max_epochs": 300,
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+ "do_deeps": 1,
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+ "model_id": 75,
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+ "seed": 41,
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+ "base_lr": 0.01,
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+ "batch_size": 8,
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+ "epoch": 273
23
+ },
24
+ "preprocessing_class": "A",
25
+ "intensity_written": true,
26
+ "reason": "class A (uwaterlooskincancer) intensity written",
27
+ "verification": {
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+ "strict_load": "pass",
29
+ "device": "cpu",
30
+ "torch": "2.13.0+cpu",
31
+ "medotter": "0.1.0",
32
+ "parameters": 22506074,
33
+ "intensity_overridden_for_probe": [],
34
+ "verified_at": "2026-09-06T21:33:46+00:00"
35
+ },
36
+ "generator": "tools/hf_sidecars.py",
37
+ "generated_at": "2026-09-06T21:33:46+00:00"
38
+ }