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validation_and_benchmark/benchmark/benchmark.csv

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+parameters,counted_parameters,macs,gmacs,flops_estimate,gflops_estimate,mean_latency_ms,median_latency_ms,p95_latency_ms,fps,model,model_size_mb,batch_size,imgsz,device,gpu_name,gpu_total_memory_mb,peak_gpu_memory_mb,python_version,torch_version,cuda_version,ultralytics_version
+2416871,2416871,3269461600,3.2694616,6538923200,6.5389232,10.432576260045607,10.057338500701007,14.695106001454405,95.85360078600839,outputs/finetune_direct_fair/p10_adamw_exact/weights/best.pt,4.854181289672852,1,640,cuda:1,Tesla T4,14911.6875,41.6650390625,3.12.12,2.10.0+cu128,12.8,8.4.115

validation_and_benchmark/benchmark/benchmark.json

@@ -0,0 +1,24 @@
+{
+  "parameters": 2416871,
+  "counted_parameters": 2416871,
+  "macs": 3269461600,
+  "gmacs": 3.2694616,
+  "flops_estimate": 6538923200,
+  "gflops_estimate": 6.5389232,
+  "mean_latency_ms": 10.432576260045607,
+  "median_latency_ms": 10.057338500701007,
+  "p95_latency_ms": 14.695106001454405,
+  "fps": 95.85360078600839,
+  "model": "outputs/finetune_direct_fair/p10_adamw_exact/weights/best.pt",
+  "model_size_mb": 4.854181289672852,
+  "batch_size": 1,
+  "imgsz": 640,
+  "device": "cuda:1",
+  "gpu_name": "Tesla T4",
+  "gpu_total_memory_mb": 14911.6875,
+  "peak_gpu_memory_mb": 41.6650390625,
+  "python_version": "3.12.12",
+  "torch_version": "2.10.0+cu128",
+  "cuda_version": "12.8",
+  "ultralytics_version": "8.4.115"
+}

validation_and_benchmark/validation/metrics_val.csv

@@ -0,0 +1,8 @@
+scope,precision,recall,mAP50,mAP50-95,class_id,class_name
+overall,0.9647944266359008,0.9570626861387571,0.9827348191434385,0.777360110948349,,
+class,0.9603890425534928,0.9683794466403162,0.9808642536859331,0.7160461615598585,0.0,open
+class,0.9376404308370303,0.9494949494949495,0.9591074875914751,0.686683095296873,1.0,short
+class,0.9699902823757591,0.9471830985915493,0.9838488252198286,0.7776552683455351,2.0,mousebite
+class,0.9670206723630826,0.9523809523809523,0.9889641254194397,0.7405894514575715,3.0,spur
+class,0.9916118782098838,0.9620853080568721,0.9926456648003167,0.8818182250652284,4.0,copper
+class,0.9621142534761563,0.9628523616679037,0.9909785581436378,0.8613684639650272,5.0,pin-hole

validation_and_benchmark/validation/metrics_val.json

@@ -0,0 +1,59 @@
+{
+  "split": "val",
+  "overall": {
+    "precision": 0.9647944266359008,
+    "recall": 0.9570626861387571,
+    "mAP50": 0.9827348191434385,
+    "mAP50-95": 0.777360110948349
+  },
+  "per_class": [
+    {
+      "class_id": 0,
+      "class_name": "open",
+      "precision": 0.9603890425534928,
+      "recall": 0.9683794466403162,
+      "mAP50": 0.9808642536859331,
+      "mAP50-95": 0.7160461615598585
+    },
+    {
+      "class_id": 1,
+      "class_name": "short",
+      "precision": 0.9376404308370303,
+      "recall": 0.9494949494949495,
+      "mAP50": 0.9591074875914751,
+      "mAP50-95": 0.686683095296873
+    },
+    {
+      "class_id": 2,
+      "class_name": "mousebite",
+      "precision": 0.9699902823757591,
+      "recall": 0.9471830985915493,
+      "mAP50": 0.9838488252198286,
+      "mAP50-95": 0.7776552683455351
+    },
+    {
+      "class_id": 3,
+      "class_name": "spur",
+      "precision": 0.9670206723630826,
+      "recall": 0.9523809523809523,
+      "mAP50": 0.9889641254194397,
+      "mAP50-95": 0.7405894514575715
+    },
+    {
+      "class_id": 4,
+      "class_name": "copper",
+      "precision": 0.9916118782098838,
+      "recall": 0.9620853080568721,
+      "mAP50": 0.9926456648003167,
+      "mAP50-95": 0.8818182250652284
+    },
+    {
+      "class_id": 5,
+      "class_name": "pin-hole",
+      "precision": 0.9621142534761563,
+      "recall": 0.9628523616679037,
+      "mAP50": 0.9909785581436378,
+      "mAP50-95": 0.8613684639650272
+    }
+  ]
+}