feature: Event Detection Log Block

[jeku46]

Description

This is a new workflow block which takes input from the bytetracker and stores a log of events. The events store the time an object (unique tracker id) was first seen, last seen, its tracker id, and class.

There are no dependencies for this change.

Type of change

Please delete options that are not relevant.

• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

How has this change been tested, please provide a testcase or example of how you tested the change?

I created a simple workflow which sent the bytetracker output to the new block. I used the rfdetr model. Then, I logged to output of the event detection log block.

I tested these changes against three different videos

1. A video of a dog where the dog is in frame for the first 20 seconds, leaves frame, then returns. I found that the first tracker id logged to the event log as expected. There were some flickering ids as it leaves which remained in the "pending" event log and were later flushed. When the dog returned, a new tracker id was seen for long enough which added an entry to the log.
2. I tested a video of where 4 people are seen running in a frame. The 4 events appeared in the log as expected.
3. I tested a video with 2 giraffes and 2 people from the zoo. All logs appeared as expected.

Any specific deployment considerations

For example, documentation changes, usability, usage/costs, secrets, etc.

Docs

• Docs updated? What were the changes:
• New block
• Docs have been added to block code

---

Note

Adds an analytics block to maintain and expose a rolling log of tracked detection events.

• New roboflow_core/detection_event_log@v1 block (analytics/detection_event_log/v1.py) tracks objects by tracker_id, recording first/last seen frame/timestamp and frame counts; logs events after frame_threshold; periodically removes stale events based on flush_interval and stale_frames
• Outputs event_log (split into logged and pending), passthrough detections, and counts: total_logged, total_pending; declares engine compatibility >=1.3.0,<2.0.0
• Registers DetectionEventLogBlockV1 in core_steps/loader.py so it’s available via load_blocks()

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⚡️ Codeflash found optimizations for this PR

📄 1,492% (14.92x) speedup for DetectionEventLogBlockV1._evict_oldest_video in inference/core/workflows/core_steps/analytics/detection_event_log/v1.py

⏱️ Runtime : 722 microseconds → 45.3 microseconds (best of 108 runs)

A new Optimization Review has been created.

🔗 Review here