{"adoption": {"forks": 142, "observed_at": "2026-08-28T04:04:55.531633+00:00", "stars": 1508}, "canonical_url": "https://ross.abutalabs.com/products/tracking-anything-with-deva", "card": {"archived": false, "artifact_type": "library", "description": "[ICCV 2023] Tracking Anything with Decoupled Video Segmentation", "domain": ["computer-vision", "image-processing", "artificial-intelligence", "deep-learning"], "enriched": true, "function": ["computer-vision", "image-processing", "machine-learning", "deep-learning"], "health_score": 33, "homepage": "https://hkchengrex.com/Tracking-Anything-with-DEVA/", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "stable", "member_repos": ["hkchengrex/Tracking-Anything-with-DEVA"], "name": "hkchengrex/Tracking-Anything-with-DEVA", "platform": ["python", "cross-platform"], "pushed_at": "2025-04-26T19:46:00+00:00", "repo": "hkchengrex/Tracking-Anything-with-DEVA", "stars": 1508, "tags": ["video-segmentation", "object-tracking", "open-vocabulary", "segment-anything", "video-object-segmentation", "research", "iccv-2023", "pytorch", "video", "linux", "gpu"], "topics": ["deep-learning", "object-tracking", "open-vocabulary-segmentation", "video-editing", "video-object-segmentation", "video-segmentation", "open-vocabulary-video-segmentation", "open-world-video-segmentation", "iccv2023"], "urls": [], "use_cases": ["segment and track objects in videos with text prompts", "open-vocabulary video segmentation without task-specific video training data", "propagate image segmentation masks across video frames", "apply Segment Anything or GroundingDINO to long videos", "video object segmentation for research benchmarks like DAVIS", "integrate a custom image segmentation model into video tracking"], "what_it_is": "DEVA is a decoupled video segmentation framework that combines task-specific image-level segmentation models with a universal bi-directional temporal propagation model to produce coherent video segmentation. It supports open-vocabulary, text-prompted tracking of arbitrary objects in videos and can integrate custom image segmentation models without finetuning.", "when_to_avoid": ["you need a lightweight real-time production video pipeline", "you lack a GPU or cannot run large deep-learning models", "you need a turnkey end-user application rather than a research codebase"], "when_to_choose": ["you need open-vocabulary or open-world video segmentation with text prompts", "you want to reuse an image-level segmentation model on videos without finetuning", "you need long-term coherent tracking of many objects in research settings"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/tracking-anything-with-deva", "repo": "hkchengrex/Tracking-Anything-with-DEVA", "role": "main", "score": 27}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:55.531633+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:32:33.117948+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "79304a24b6bf2d09239775e6d00df8fc16ff9675cf4054f6db3edb94c1a54c92", "fetched_at": "2026-08-28T04:04:55.531633+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hkchengrex/Tracking-Anything-with-DEVA"}, {"content_hash": "5a93ad206e0f41f0397889e23bcc90c06dd173bb54b54d9c8a75c14d469ada0d", "fetched_at": "2026-08-29T11:36:54.667224+00:00", "kind": "homepage", "missing": false, "url": "https://hkchengrex.com/Tracking-Anything-with-DEVA/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 18, "longevity": 79, "rhythm": 8}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1112, "days_push": 494, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 27, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}