WIP: Benchmark compatibility with MOT challenge

ItemTracked.js

@@ -161,14 +161,14 @@ exports.ItemTracked = function(properties, frameNb, DEFAULT_UNMATCHEDFRAMES_TOLE
     return nameMostlyMatched;
   }
 
-  itemTracked.toJSONDebug = function() {
+  itemTracked.toJSONDebug = function(roundInt = true) {
     return {
       id: this.id,
       idDisplay: this.idDisplay,
-      x: parseInt(this.x, 10),
-      y: parseInt(this.y, 10),
-      w: parseInt(this.w, 10),
-      h: parseInt(this.h, 10),
+      x: (roundInt ? parseInt(this.x, 10) : this.x),
+      y: (roundInt ? parseInt(this.y, 10) : this.y),
+      w: (roundInt ? parseInt(this.w, 10) : this.w),
+      h: (roundInt ? parseInt(this.h, 10) : this.h),
       confidence: Math.round(this.confidence * 100) / 100,
       // Here we negate dy to be in "normal" carthesian coordinates
       bearing: parseInt(computeBearingIn360(this.velocity.dx, - this.velocity.dy)),
@@ -179,13 +179,13 @@ exports.ItemTracked = function(properties, frameNb, DEFAULT_UNMATCHEDFRAMES_TOLE
     }
   }
 
-  itemTracked.toJSON = function() {
+  itemTracked.toJSON = function(roundInt = true) {
     return {
       id: this.idDisplay,
-      x: parseInt(this.x, 10),
-      y: parseInt(this.y, 10),
-      w: parseInt(this.w, 10),
-      h: parseInt(this.h, 10),
+      x: (roundInt ? parseInt(this.x, 10) : this.x),
+      y: (roundInt ? parseInt(this.y, 10) : this.y),
+      w: (roundInt ? parseInt(this.w, 10) : this.w),
+      h: (roundInt ? parseInt(this.h, 10) : this.h),
       confidence: Math.round(this.confidence * 100) / 100,
       // Here we negate dy to be in "normal" carthesian coordinates
       bearing: parseInt(computeBearingIn360(this.velocity.dx, - this.velocity.dy), 10),
@@ -194,6 +194,10 @@ exports.ItemTracked = function(properties, frameNb, DEFAULT_UNMATCHEDFRAMES_TOLE
     }
   }
 
+  itemTracked.toMOT = function(frameIndex) {
+    return `${frameIndex},${this.idDisplay},${this.x},${this.y},${this.w},${this.h},${this.confidence / 100},-1,-1,-1`;
+  }
+
   itemTracked.toJSONGenericInfo = function() {
     return {
       id: this.id,

README.md

@@ -151,6 +151,46 @@ node-moving-things-tracker --debug --input PATH_TO_YOLO_DETECTIONS.txt
 }
 ```
 
+# Run on opendatacam/darknet detection data
+
+Usage with opendatacam/darknet generated tracker data.
+
+```bash
+node-moving-things-tracker --mode opendatacam-darknet --input detectionsFromDarknet.json
+# This will output a tracker.json file in the same folder containing the tracker data
+# Output format is the same as previously
+```
+
+Example detections.json file
+
+```json
+[
+  {
+    "frame_id":0, 
+    "objects": [ 
+      {"class_id":5, "name":"bus", "relative_coordinates":{"center_x":0.394363, "center_y":0.277938, "width":0.032596, "height":0.106158}, "confidence":0.414157}, 
+      {"class_id":5, "name":"bus", "relative_coordinates":{"center_x":0.363555, "center_y":0.285264, "width":0.062474, "height":0.133008}, "confidence":0.402736}
+    ] 
+  },
+  {
+    "frame_id":0, 
+    "objects": [ 
+      {"class_id":5, "name":"bus", "relative_coordinates":{"center_x":0.394363, "center_y":0.277938, "width":0.032596, "height":0.106158}, "confidence":0.414157}, 
+      {"class_id":5, "name":"bus", "relative_coordinates":{"center_x":0.363555, "center_y":0.285264, "width":0.062474, "height":0.133008}, "confidence":0.402736}
+    ] 
+  }
+]
+```
+
+
+## Run on MOT Challenge dataset
+
+```bash
+node-moving-things-tracker --mode motchallenge --input PATH_TO_MOT_DETECTIONS.txt
+
+# Output will be in the same folder as input under the name outputTrackerMOT.txt
+```
+
 ## Limitations
 
 No params tweaking is possible via command-line for now, it is currently optimized for tracking cars in traffic videos.