d321b4f384
This commit introduces face detection capabilities to the video platform, enabling automatic identification of faces in video thumbnails. It integrates face-api.js and sharp for image analysis, allowing for face-centered thumbnail crops and dynamic object-positioning. New API endpoints are added to process thumbnails individually and in batches. The database schema is updated to store face detection data, and the storage layer is modified to support these updates and cache face data. The project's dependencies are also updated to include necessary libraries for these new features. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 2eb1084e-b728-4449-9231-f1665924c8d5 Replit-Commit-Checkpoint-Type: full_checkpoint Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/8cc42625-c1f5-4e43-99bd-77f2c4dedee2/2eb1084e-b728-4449-9231-f1665924c8d5/xF0EUqR
44 lines
1012 B
Plaintext
44 lines
1012 B
Plaintext
modules = ["nodejs-20", "web", "postgresql-16", "python-3.11"]
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run = "npm run dev"
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hidden = [".config", ".git", "generated-icon.png", "node_modules", "dist"]
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[nix]
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channel = "stable-24_05"
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packages = ["freetype", "lcms2", "libGL", "libGLU", "libimagequant", "libjpeg", "libtiff", "libwebp", "libxcrypt", "opencv", "openjpeg", "python3", "tcl", "tk", "zlib"]
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[deployment]
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deploymentTarget = "autoscale"
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build = ["npm", "run", "build"]
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run = ["npm", "run", "start"]
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[[ports]]
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localPort = 5000
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externalPort = 80
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[env]
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PORT = "5000"
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[workflows]
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runButton = "Project"
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[[workflows.workflow]]
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name = "Project"
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mode = "parallel"
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author = "agent"
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[[workflows.workflow.tasks]]
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task = "workflow.run"
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args = "Start application"
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[[workflows.workflow]]
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name = "Start application"
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author = "agent"
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[[workflows.workflow.tasks]]
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task = "shell.exec"
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args = "npm run dev"
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waitForPort = 5000
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[agent]
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integrations = ["javascript_log_in_with_replit==1.0.0", "javascript_database==1.0.0", "javascript_object_storage==1.0.0"]
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