spacedrive/core/Cargo.toml

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2021-12-24 09:13:21 +00:00
[package]
name = "sd-core"
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version = "0.1.4"
description = "Virtual distributed filesystem engine that powers Spacedrive."
authors = ["Spacedrive Technology Inc."]
rust-version = "1.73.0"
license = { workspace = true }
repository = { workspace = true }
edition = { workspace = true }
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[features]
default = []
# This feature allows features to be disabled when the Core is running on mobile.
mobile = []
# This feature controls whether the Spacedrive Core contains functionality which requires FFmpeg.
ffmpeg = ["dep:sd-ffmpeg"]
location-watcher = ["dep:notify"]
heif = ["sd-images/heif"]
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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ai = ["dep:sd-ai"]
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[dependencies]
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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# Sub-crates
sd-cache = { path = "../crates/cache" }
sd-core-sync = { path = "./crates/sync" }
# sd-cloud-api = { path = "../crates/cloud-api" }
sd-crypto = { path = "../crates/crypto", features = [
"rspc",
"specta",
"serde",
"keymanager",
] }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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sd-file-path-helper = { path = "../crates/file-path-helper" }
sd-ffmpeg = { path = "../crates/ffmpeg", optional = true }
sd-file-ext = { path = "../crates/file-ext" }
sd-images = { path = "../crates/images", features = [
"rspc",
"serde",
"specta",
] }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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sd-media-metadata = { path = "../crates/media-metadata" }
sd-p2p = { path = "../crates/p2p", features = ["specta", "serde"] }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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sd-prisma = { path = "../crates/prisma" }
sd-ai = { path = "../crates/ai", optional = true }
sd-sync = { path = "../crates/sync" }
sd-utils = { path = "../crates/utils" }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
sd-cloud-api = { version = "0.1.0", path = "../crates/cloud-api" }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
# Workspace dependencies
async-channel = { workspace = true }
axum = { workspace = true }
base64 = { workspace = true }
blake3 = { workspace = true }
chrono = { workspace = true, features = ["serde"] }
futures = { workspace = true }
futures-concurrency = { workspace = true }
image = { workspace = true }
normpath = { workspace = true, features = ["localization"] }
once_cell = { workspace = true }
pin-project-lite = { workspace = true }
prisma-client-rust = { workspace = true }
regex = { workspace = true }
reqwest = { workspace = true, features = ["json", "native-tls-vendored"] }
rmp-serde = { workspace = true }
rspc = { workspace = true, features = [
"uuid",
"chrono",
"tracing",
"alpha",
"unstable",
] }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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serde = { workspace = true, features = ["derive"] }
serde_json = { workspace = true }
specta = { workspace = true }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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strum = { workspace = true, features = ["derive"] }
strum_macros = { workspace = true }
tempfile = { workspace = true }
thiserror = { workspace = true }
tokio = { workspace = true, features = [
"sync",
"rt-multi-thread",
"io-util",
"macros",
"time",
"process",
] }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
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tokio-stream = { workspace = true, features = ["fs"] }
tokio-util = { workspace = true, features = ["io"] }
tracing = { workspace = true }
tracing-appender = { workspace = true }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
tracing-subscriber = { workspace = true, features = ["env-filter"] }
uuid = { workspace = true, features = ["v4", "serde"] }
webp = { workspace = true }
# Specific Core dependencies
async-recursion = "1.0.5"
async-stream = "0.3.5"
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
async-trait = "^0.1.74"
bytes = "1.5.0"
ctor = "0.2.5"
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
directories = "5.0.1"
flate2 = "1.0.28"
globset = { version = "^0.4.13", features = ["serde1"] }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
hostname = "0.3.1"
http-body = "0.4.5"
http-range = "0.1.5"
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
int-enum = "0.5.0"
itertools = "0.12.0"
mini-moka = "0.10.2"
notify = { version = "=5.2.0", default-features = false, features = [
"macos_fsevent",
], optional = true }
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
rmpv = "^1.0.1"
serde-hashkey = "0.4.5"
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
serde_repr = "0.1"
serde_with = "3.4.0"
slotmap = "1.0.6"
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
static_assertions = "1.1.0"
sysinfo = "0.29.10"
tar = "0.4.40"
# Override features of transitive dependencies
[dependencies.openssl]
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
version = "=0.10.61"
features = ["vendored"]
[dependencies.openssl-sys]
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
version = "=0.9.97"
features = ["vendored"]
[ENG-1479] AI Prototype (#1845) * First draft on image labeling * Fixing execution providers for other OSs * Better error handling and shutdown * Working with shallow media processor * bruh * Fix warnings * Now hooked to media processor job * Link desktop app with libonnxruntime to avoid TLS error during startup * Be able to change models on runtime Revert to use labels table instead of tags * A bug on a model-less inference * Show AI labels on Inspector - Change yolo inference to use half precision - Add labels api to core * Remove LD_PRELOAD * Fix race condition on model executor shutdown * Don't load all images in memory moron * Embeed yolo model in prod build - Change yolo model path to new one relative to executable * Disable volume watcher on linux, it was crashing the app - Invalidate labels when they are updated * Rust fmt * Minor changes * Gate onnxruntime linking to the ai-models feature * Add build script to sd-server to handle onnxruntime linking workaround * Move AI stuff to its own crate and normalize deps * Rust fmt * Don't regenerate labels unless asked to * Now blazingly fast * Bad merge * Fix * Fix * Add backend logic to download extra yolo models * Add models api route - Add api call to get available model version - Add api call to change the model version * Improve new model download logic - Add frontend to change image labeler model * Fix new model downloader * Fix model select width * invalidate labels count after media_processor generates a new output * Rename AI crate and first draft on download notifications * fix types --------- Co-authored-by: Vítor Vasconcellos <vasconcellos.dev@gmail.com> Co-authored-by: Brendan Allan <brendonovich@outlook.com>
2023-12-19 09:28:57 +00:00
# Platform-specific dependencies
[target.'cfg(target_os = "macos")'.dependencies]
plist = "1"
[dev-dependencies]
tracing-test = "^0.2.4"
[ENG-1096] Image Conversions (#1364) * derive `Type` on `*Extension` * update `image`, `webp` and add `rspc::Error` support to the `sd-images` crate * rename function for verbosity * cleanup clippy allows and use scaling fn for svg conversions * remove dead comment * specify `generic` image extensions and add fn to enumerate all compatible extensions * re-exports and inline hot provided method * another inline on a provided method * `formatter` -> `handler` and return an explicit error if the extension isn't supported, and add `convert_image()` * `get_ext()` inlined helper fn * add mutation for conversion and query for getting all supported extensions * fix `svg` scaling and generation * update bindings * rm old const * temporary test for all exts * verbosity and no manual drop * remove dbg test * big enum and remove `cur` extension as `image` doesn't support it * add huge extension enum * hopefully get path from file path id and location id * main merge fix * chore: update toml and lockfile * security: update webp * comment entire crypto crate for build times * add bincode, huge enum and custom ser/de * Revert "comment entire crypto crate for build times" This reverts commit 458addaad60fe845c476402f21404f40330e706b. * lockfile * theoretically working ser/de * add svg scaling * fix pdf matching bug and use options * move image scaling fn * major consts overhaul with good ser/de * disable heif checking for now due to new trait api * make the generic handler truly generic * fix pdf types * fix pdf scaling so that it's 120dpi A4 paper size by default - height/aspect res are maintained * heavy cleanup * note to myself * bindings & update core to use the scaling fn from the images crate (reducing code dupes) * move vulnerable `aovec` to be a dev dep so it stays out of release builds (it's only used in tests) * remoev exif crate from the core as it's handled in a sep. crate * silence a clippy warning and update lockfile * lower the maximum file size a slight amount * bindings and minor dep bumps * Some improvements --------- Co-authored-by: Ericson Fogo Soares <ericson.ds999@gmail.com>
2023-10-10 02:57:37 +00:00
aovec = "1.1.0"