Feat/enable multi class evaluation

.github/workflows/ci.yml

@@ -78,7 +78,7 @@ jobs:
         run: |
           source .venv/bin/activate
           # reuse first set of generated det and prod
-          boxmot tune --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --n-trials 3 --tracking-method strongsort --source ./assets/MOT17-mini/train --ci
+          boxmot tune --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --n-trials 3 --tracking-method strongsort --source ./assets/MOT17-mini/train --ci --classes 0
   mot-metrics-benchmark:
     runs-on: ${{ matrix.os }}
     strategy:
@@ -118,7 +118,7 @@ jobs:
           source .venv/bin/activate
           echo "Format,Status❔,HOTA,MOTA,IDF1" > results.csv
           for tracker in $TRACKERS; do
-            if boxmot eval --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --tracking-method $tracker --verbose --source ./assets/MOT17-mini/train --ci; then
+            if boxmot eval --yolo-model yolov8n.pt --reid-model osnet_x0_25_msmt17.pt --tracking-method $tracker --verbose --source ./assets/MOT17-mini/train --ci  --classes 0; then
               STATUS="✅"
             else
               STATUS="❌"

boxmot/configs/datasets/MOT17-ablation.yaml

@@ -2,8 +2,8 @@
 download:
   runs_url: "https://github.com/mikel-brostrom/boxmot/releases/download/v12.0.7/runs.zip"
   dataset_url: "https://github.com/mikel-brostrom/boxmot/releases/download/v13.0.9/MOT17-ablation.zip"
-  dataset_dest: "boxmot/engine/trackeval/MOT17-ablation.zip"
 
 benchmark:
-  name: "MOT17-ablation"
+  source: "boxmot/engine/trackeval/MOT17-ablation"
   split: "train"
+  classes: "person"

boxmot/configs/datasets/MOT20-ablation.yaml

@@ -1,9 +1,9 @@
 # https://motchallenge.net/data/MOT20/
 download:
-  runs_url: null
+  runs_url: "https://github.com/mikel-brostrom/boxmot/releases/download/v12.0.7/runs.zip"
   dataset_url: "https://github.com/mikel-brostrom/boxmot/releases/download/v13.0.9/MOT20-ablation.zip"
-  dataset_dest: "boxmot/engine/trackeval/MOT20-ablation.zip"
 
 benchmark:
-  name: "MOT20-ablation"
+  source: "boxmot/engine/trackeval/MOT20-ablation"
   split: "train"
+  classes: "person"

boxmot/configs/datasets/SportsMOT.yaml

@@ -1,9 +1,9 @@
-# https://motchallenge.net/data/MOT20/
+# https://github.com/SportsMOT/SportsMOT
 download:
-  runs_url: null
-  dataset_url: "https://onedrive.live.com/?redeem=aHR0cHM6Ly8xZHJ2Lm1zL3UvcyFBdGplTHE3WW5ZR1JnUVJybXFHcjRCLWsteHNDP2U9N1BuZFU4&cid=91819DD8AE2EDED8&id=91819DD8AE2EDED8%21132&parId=91819DD8AE2EDED8%21129&o=OneUp"
-  dataset_dest: "boxmot/engine/trackeval/SportsMOT.zip"
+  runs_url: ""
+  dataset_url: "https://github.com/mikel-brostrom/boxmot/releases/download/v13.0.9/SportsMOT.zip"
 
 benchmark:
-  name: "SportsMOT"
-  split: "train"
+  source: "boxmot/engine/trackeval/SportsMOT"
+  split: "val"
+  classes: "person"

boxmot/configs/datasets/custom.yaml

@@ -0,0 +1,9 @@
+# https://motchallenge.net/data/MOT17/
+download:
+  runs_url: ""
+  dataset_url: ""
+
+benchmark:
+  source: "assets/MOT17-mini"
+  split: "train"
+  classes: "person"

boxmot/configs/datasets/dancetrack-ablation.yaml

@@ -1,9 +1,9 @@
 # https://huggingface.co/datasets/noahcao/dancetrack/tree/main
 download:
   runs_url: null
-  dataset_url: "https://huggingface.co/datasets/noahcao/dancetrack/resolve/main/val.zip?download=true"
-  dataset_dest: "boxmot/engine/trackeval/dancetrack-ablation.zip"
+  dataset_url: "https://github.com/mikel-brostrom/boxmot/releases/download/v13.0.9/dancetrack-ablation.zip"
 
 benchmark:
-  name: "dancetrack-ablation"
+  source: "boxmot/engine/trackeval/dancetrack-ablation"
   split: "val"
+  classes: "person"

boxmot/configs/datasets/vizdrone-ablation.yaml

@@ -1,9 +1,9 @@
-# https://motchallenge.net/data/MOT20/
+# https://github.com/VisDrone/VisDrone-Dataset
 download:
-  runs_url: null
-  dataset_url: "https://drive.google.com/uc?export=download&id=1rqnKe9IgU_crMaxRoel9_nuUsMEBBVQu"
-  dataset_dest: "boxmot/engine/trackeval/vizdrone-ablation.zip"
+  runs_url: ""
+  dataset_url: "https://github.com/mikel-brostrom/boxmot/releases/download/v13.0.9/vizdrone-ablation.zip"
 
 benchmark:
-  name: "VisDrone2019-MOT-val"
-  split: ""
+  source: "boxmot/engine/trackeval/vizdrone-ablation"
+  split: "train"
+  classes: "person car truck bus van"

boxmot/engine/cli.py

@@ -99,6 +99,29 @@ def core_options(func):
     return func
 
 
+def parse_classes(classes_input):
+    """
+    Parse classes input which can be a tuple of ints (from multiple=True),
+    a string (comma/space separated), or None.
+    Returns a list of integers or None.
+    """
+    if classes_input is None:
+        return None
+
+    if isinstance(classes_input, (list, tuple)):
+        # If it's already a list/tuple of ints (from multiple=True)
+        if not classes_input:
+            return None
+        return list(classes_input)
+
+    if isinstance(classes_input, str):
+        # Handle string input: "0,1" or "0 1"
+        classes_input = classes_input.replace(',', ' ')
+        return [int(x) for x in classes_input.split()]
+
+    return [int(classes_input)]
+
+
 def singular_model_options(func):
     options = [
         click.option('--yolo-model', type=Path,
@@ -107,8 +130,8 @@ def singular_model_options(func):
         click.option('--reid-model', type=Path,
                      default=WEIGHTS / 'osnet_x0_25_msmt17.pt',
                      help='path to ReID model weights'),
-        click.option('--classes', type=int, multiple=True,
-                     help='filter by class indices')
+        click.option('--classes', type=str, default=None,
+                     help='filter by class indices, e.g. 0 or "0,1"')
     ]
     for opt in reversed(options):
         func = opt(func)
@@ -123,8 +146,8 @@ def plural_model_options(func):
         click.option('--reid-model', type=Path, multiple=True,
                      default=[WEIGHTS / 'osnet_x0_25_msmt17.pt'],
                      help='one or more ReID model weights'),
-        click.option('--classes', type=int, multiple=True,
-                     default=[0], help='filter by class indices')
+        click.option('--classes', type=str, default=None,
+                     help='filter by class indices, e.g. 0 or "0,1"')
     ]
     for opt in reversed(options):
         func = opt(func)
@@ -291,7 +314,7 @@ def track(ctx, detector, reid, tracker, yolo_model, reid_model, classes, **kwarg
     params = {**kwargs,
               'yolo_model': yolo_model,
               'reid_model': reid_model,
-              'classes': list(classes) if classes else None,
+              'classes': parse_classes(classes),
               'source': src,
               'benchmark': bench,
               'split': split}
@@ -324,7 +347,7 @@ def generate(ctx, detector, reid, yolo_model, reid_model, classes, **kwargs):
     params = {**kwargs,
               'yolo_model': list(yolo_model),
               'reid_model': list(reid_model),
-              'classes': list(classes),
+              'classes': parse_classes(classes),
               'source': src,
               'benchmark': bench,
               'split': split}
@@ -360,7 +383,7 @@ def eval(ctx, detector, reid, tracker, yolo_model, reid_model, classes, **kwargs
     params = {**kwargs,
               'yolo_model': list(yolo_model),
               'reid_model': list(reid_model),
-              'classes': [0],
+              'classes': parse_classes(classes),
               'source': src,
               'benchmark': bench,
               'split': split}
@@ -397,7 +420,7 @@ def tune(ctx, detector, reid, tracker, yolo_model, reid_model, classes, **kwargs
     params = {**kwargs,
               'yolo_model': list(yolo_model),
               'reid_model': list(reid_model),
-              'classes': list(classes),
+              'classes': parse_classes(classes),
               'source': src,
               'benchmark': bench,
               'split': split}