/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
[EVAL] fold [4]: 482 patches (7,712 crop-equiv)
[EVAL] window=128x128  batch=1 -> 482 batches  TTA=off  ensemble=1 ckpt(s)
[EVAL] /home/ubuntu/tsr/research_round/checkpoints/sam/model_best_raw.tar
       epoch=10  val_mIoU=0.5000673383500418  which=raw
/home/ubuntu/tsr/evaluate_test.py:116: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with autocast():
  eval 0/482
  eval 50/482
  eval 100/482
  eval 150/482
  eval 200/482
  eval 250/482
  eval 300/482
  eval 350/482
  eval 400/482
  eval 450/482

==========================================================
 T-SRDA v2 evaluation — PASTIS fold-4 test set (official protocol)
 482 full 128x128 patches · 3,961,114 scored pixels
 TTA: OFF (official)   checkpoints: 1
==========================================================
  mIoU  : 0.4750
  OA    : 0.7959
  mF1   : 0.6060
  Kappa : 0.7482

 Cls Name                              IoU       F1      Support
----------------------------------------------------------------
   1 Meadow                         0.8020   0.8901    1,466,003
   2 Soft winter wheat              0.7025   0.8253      560,680
   3 Corn                           0.8569   0.9230      688,289
   4 Winter barley                  0.4945   0.6617      163,392
   5 Winter rapeseed                0.8760   0.9339      129,119
   6 Spring barley                  0.3614   0.5310       53,762
   7 Sunflower                      0.4251   0.5966       81,933
   8 Grapevine                      0.5731   0.7286      187,477
   9 Beet                           0.7824   0.8779       71,047
  10 Winter triticale               0.1223   0.2180       58,362
  11 Winter durum wheat             0.5315   0.6941       69,960
  12 Fruits, vegetables, flowers    0.2698   0.4250       60,715
  13 Potatoes                       0.2983   0.4596       22,613
  14 Leguminous fodder              0.2718   0.4274      127,794
  15 Soybeans                       0.5734   0.7289       68,316
  16 Orchard                        0.2937   0.4541       76,859
  17 Mixed cereal                   0.0927   0.1697       42,769  *rare*
  18 Sorghum                        0.2224   0.3638       32,024

Corrected foreground mIoU: 0.47500097242802003
Corrected foreground macro F1: 0.6060348191643534
Saved results: /home/ubuntu/tsr/research_round/checkpoints/sam/test_results.json

peak VRAM: 5.00 GB at batch 1

--- reference points (v1, same protocol, no TTA) ---
  v1 fixed epoch 99 : test mIoU 0.4124
  v1 best-val ep37  : test mIoU 0.4433
  A_linear baseline : test mIoU 0.4747 (seed 3407, best-val)