Conversation
Member
Author
|
Another example with app profiling {
"pipeline_id": "swt-detection/v8.2/fa67da31cb29cbeb24886603ba109da1/swt-detection/v8.2/fa67da31cb29cbeb24886603ba109da1/smolvlm2-captioner/98610f0/ef8c30d5dd41e266aa69668a194a17f3",
"stats": {
"viewCount": 3,
"errorViews": [],
"warningViews": [],
"emptyViews": [],
"annotationCount": {
"total": 1825,
"v_0": 1816,
"v_1": 5,
"v_2": 4
},
"annotationCountByType": {
"http://mmif.clams.ai/vocabulary/TimePoint/v5": {
"total": 1816,
"v_0": 1816
},
"http://mmif.clams.ai/vocabulary/TimeFrame/v6": {
"total": 4,
"v_1": 4
},
"http://mmif.clams.ai/vocabulary/Annotation/v6": {
"total": 1,
"v_1": 1
},
"http://mmif.clams.ai/vocabulary/TextDocument/v1": {
"total": 2,
"v_2": 2
},
"http://mmif.clams.ai/vocabulary/Alignment/v1": {
"total": 2,
"v_2": 2
}
}
},
"views": {
"v_0": {
"app": "http://apps.clams.ai/swt-detection/v8.2",
"appConfiguration": {
"useClassifier": true,
"tpModelName": "convnextv2_tiny",
"tpUsePosModel": true,
"tpStartAt": 0,
"tpStopAt": 9223372036854775807,
"tpSampleRate": 1000,
"useStitcher": true,
"tfMinTPScore": 0.5,
"tfMinTFScore": 0.9,
"tfMinTFDuration": 5000,
"tfAllowOverlap": false,
"tfDynamicSceneLabels": [
"credit",
"credits"
],
"tfLabelMap": {
"B": "Bars",
"S": "Slate",
"S:H": "Slate",
"S:C": "Slate",
"S:D": "Slate",
"S:B": "Slate",
"S:G": "Slate",
"Y": "chyron",
"U": "chyron",
"K": "chyron",
"KU": "chyron",
"I": "chyron",
"N": "chyron",
"IN": "chyron",
"C": "Credits",
"R": "Credits",
"CR": "Credits",
"M": "Other-text",
"O": "Other-text",
"W": "Other-text",
"L": "Other-text",
"G": "Other-text",
"F": "Other-text",
"E": "Other-text",
"T": "Other-text",
"GLOTW": "Other-text"
},
"tfLabelMapPreset": "relaxed",
"pretty": true,
"runningTime": true,
"hwFetch": true
},
"appProfiling": {
"runningTime": 472185,
"hardware": {
"architecture": "x86_64",
"cuda": [
"NVIDIA GeForce RTX 3060, With 12.00 GiB, Used 3.37 GiB"
]
}
}
},
"v_1": {
"app": "http://apps.clams.ai/swt-detection/v8.2",
"appConfiguration": {
"useClassifier": true,
"tpModelName": "convnextv2_tiny",
"tpUsePosModel": true,
"tpStartAt": 0,
"tpStopAt": 9223372036854775807,
"tpSampleRate": 1000,
"useStitcher": true,
"tfMinTPScore": 0.5,
"tfMinTFScore": 0.9,
"tfMinTFDuration": 5000,
"tfAllowOverlap": false,
"tfDynamicSceneLabels": [
"credit",
"credits"
],
"tfLabelMap": {
"B": "Bars",
"S": "Slate",
"S:H": "Slate",
"S:C": "Slate",
"S:D": "Slate",
"S:B": "Slate",
"S:G": "Slate",
"Y": "chyron",
"U": "chyron",
"K": "chyron",
"KU": "chyron",
"I": "chyron",
"N": "chyron",
"IN": "chyron",
"C": "Credits",
"R": "Credits",
"CR": "Credits",
"M": "Other-text",
"O": "Other-text",
"W": "Other-text",
"L": "Other-text",
"G": "Other-text",
"F": "Other-text",
"E": "Other-text",
"T": "Other-text",
"GLOTW": "Other-text"
},
"tfLabelMapPreset": "relaxed",
"pretty": true,
"runningTime": true,
"hwFetch": true
},
"appProfiling": {
"runningTime": 472185,
"hardware": {
"architecture": "x86_64",
"cuda": [
"NVIDIA GeForce RTX 3060, With 12.00 GiB, Used 3.37 GiB"
]
}
}
},
"v_2": {
"app": "http://apps.clams.ai/smolvlm2-captioner/98610f0",
"appConfiguration": {
"frameInterval": 30,
"defaultPrompt": "Describe what is shown in this video frame. Analyze the purpose of this frame in the context of a news video. Transcribe any text present.",
"promptMap": [
"chyron:Transcribe verbatim the text in the \"lower third\" or \"chyron\" area of the screen, including every character. Preserve spacing and line breaks where feasible.\nDo not, under any circumstances, include text that is in the top half of the frame.\nEven for text in the bottom half of frame, do not include the text unless it is part of the chyron graphical element. Easily legible text in a logo that is part of the chyron should be included, but watermarks, background text, and filmed text should be omitted.\nTo transcribe an okina character, use the backtick: (ASCII code 39).\n"
],
"config": "config/hi-chy-annotator_instructions-3.yaml",
"num_beams": 1,
"pretty": false,
"runningTime": true,
"hwFetch": true
},
"appProfiling": {
"runningTime": 693793,
"hardware": {
"architecture": "x86_64",
"cuda": [
"NVIDIA RTX A6000 (49140 MiB)",
"NVIDIA RTX A6000 (49140 MiB)",
"NVIDIA RTX A6000 (49140 MiB)",
"NVIDIA RTX A6000 (49140 MiB)"
]
}
}
}
}
} |
f9d075c to
f7eedfa
Compare
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## develop #339 +/- ##
===========================================
- Coverage 88.19% 82.31% -5.88%
===========================================
Files 13 14 +1
Lines 1677 1815 +138
===========================================
+ Hits 1479 1494 +15
- Misses 198 321 +123
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
|
This was referenced Nov 20, 2025
Merged
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
first step toward #326
This PR re-implements the "pipeline-id" generation logic from clamsproject/aapb-brandeis-datahousing#11
Here's an example output
{ "pipeline_id": "swt-detection/v7.4/3fd99622c1a78613dc21c3dc4984e6fe/swt-detection/v7.4/3fd99622c1a78613dc21c3dc4984e6fe/llava-captioner/v1.2-6-gc824c97/63c50899e241c2a27eb65ad85e4e8773", "stats": { "viewCount": 3, "errorViews": [], "warningViews": [ "v_2" ], "emptyViews": [], "annotationCount": { "total": 30687, "v_0": 30614, "v_1": 25, "v_3": 48 }, "annotationCountByType": { "http://mmif.clams.ai/vocabulary/TimePoint/v4": { "total": 30614, "v_0": 30614 }, "http://mmif.clams.ai/vocabulary/TimeFrame/v5": { "total": 24, "v_1": 24 }, "http://mmif.clams.ai/vocabulary/Annotation/v5": { "total": 1, "v_1": 1 }, "http://mmif.clams.ai/vocabulary/TextDocument/v1": { "total": 24, "v_3": 24 }, "http://mmif.clams.ai/vocabulary/Alignment/v1": { "total": 24, "v_3": 24 } } }, "views": { "v_0": { "app": "http://apps.clams.ai/swt-detection/v7.4", "appConfiguration": { "useClassifier": true, "tpModelName": "convnext_small", "tpUsePosModel": true, "tpStartAt": 0, "tpStopAt": 9000000, "tpSampleRate": 125, "useStitcher": true, "tfMinTPScore": 0.05, "tfMinTFScore": 0.2, "tfMinTFDuration": 1900, "tfAllowOverlap": false, "tfDynamicSceneLabels": [ "credit", "credits" ], "tfLabelMap": { "I": "chyron", "Y": "chyron", "N": "chyron" }, "tfLabelMapPreset": "nopreset", "pretty": true, "runningTime": false, "hwFetch": false } }, "v_1": { "app": "http://apps.clams.ai/swt-detection/v7.4", "appConfiguration": { "useClassifier": true, "tpModelName": "convnext_small", "tpUsePosModel": true, "tpStartAt": 0, "tpStopAt": 9000000, "tpSampleRate": 125, "useStitcher": true, "tfMinTPScore": 0.05, "tfMinTFScore": 0.2, "tfMinTFDuration": 1900, "tfAllowOverlap": false, "tfDynamicSceneLabels": [ "credit", "credits" ], "tfLabelMap": { "I": "chyron", "Y": "chyron", "N": "chyron" }, "tfLabelMapPreset": "nopreset", "pretty": true, "runningTime": false, "hwFetch": false } }, "v_3": { "app": "http://apps.clams.ai/llava-captioner/v1.2-6-gc824c97", "appConfiguration": { "frameInterval": 30, "defaultPrompt": "Describe what is shown in this video frame. Analyze the purpose of this frame in the context of a news video. Transcribe any text present.", "promptMap": {}, "config": "/home/kmlynch/clams_apps/app-llava-captioner/config/hi-chy-annotator_instructions-3.yaml", "pretty": false } } } }