diff --git a/dev/.documenter-siteinfo.json b/dev/.documenter-siteinfo.json index 240d52d25..b6c504251 100644 --- a/dev/.documenter-siteinfo.json +++ b/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.9.3","generation_timestamp":"2023-10-24T02:23:40","documenter_version":"1.1.2"}} \ No newline at end of file +{"documenter":{"julia_version":"1.9.3","generation_timestamp":"2023-10-25T02:22:04","documenter_version":"1.1.2"}} \ No newline at end of file diff --git a/dev/acknowledgements/index.html b/dev/acknowledgements/index.html index b2d0d50a7..0027985ea 100644 --- a/dev/acknowledgements/index.html +++ b/dev/acknowledgements/index.html @@ -1,2 +1,2 @@ -A Few Acknowledgements · FaceDetection Documentation
GitHub

Acknowledgements

Thank you to:

  • Simon Honberg for the original open-source Python code upon which this repository is largely based. This has provided me with an easy-to-read and clear foundation for the Julia implementation of this algorithm;
  • Michael Jones for (along with Tirta Susilo) suggesting the method for a facelike-ness measure;
  • Mahdi Rezaei for helping me understand the full process of Viola-Jones' object detection;
  • Ying Bi for always being happy to answer questions (which mainly turned out to be a lack of programming knowledge rather than conceptual; also with help from Bing Xue);
  • Mr. H. Lockwood and Mr. D. Peck are Comp. Sci. students who have answered a few questions of mine;
  • Finally, the people in the Julia slack channel, for dealing with many (probably stupid) questions. Just a few who come to mind: Micket, David Sanders, Eric Forgy, Jakob Nissen, and Roel.
+A Few Acknowledgements · FaceDetection Documentation
GitHub

Acknowledgements

Thank you to:

  • Simon Honberg for the original open-source Python code upon which this repository is largely based. This has provided me with an easy-to-read and clear foundation for the Julia implementation of this algorithm;
  • Michael Jones for (along with Tirta Susilo) suggesting the method for a facelike-ness measure;
  • Mahdi Rezaei for helping me understand the full process of Viola-Jones' object detection;
  • Ying Bi for always being happy to answer questions (which mainly turned out to be a lack of programming knowledge rather than conceptual; also with help from Bing Xue);
  • Mr. H. Lockwood and Mr. D. Peck are Comp. Sci. students who have answered a few questions of mine;
  • Finally, the people in the Julia slack channel, for dealing with many (probably stupid) questions. Just a few who come to mind: Micket, David Sanders, Eric Forgy, Jakob Nissen, and Roel.
diff --git a/dev/benchmarking/index.html b/dev/benchmarking/index.html index 9485bf8a8..55d273ab2 100644 --- a/dev/benchmarking/index.html +++ b/dev/benchmarking/index.html @@ -7,4 +7,4 @@ CPU: Intel(R) Core(TM) i5-6360U CPU @ 2.00GHz WORD_SIZE: 64 LIBM: libopenlibm - LLVM: libLLVM-9.0.1 (ORCJIT, skylake)

1.6 Update

A few months after the release of Julia 1.6, I did some performance considerations (there are already quite a few nice features that come with 1.6). Now these are the benchmarking results (see benchmark/basic.jl) Language of Implementation | Commit | Run Time in Seconds | Number of Allocations | Memory Usage –- | –- | –- | –- | –- Julia | ??? | 8.165 | 249021919 | 5.01 GiB

+ LLVM: libLLVM-9.0.1 (ORCJIT, skylake)

1.6 Update

A few months after the release of Julia 1.6, I did some performance considerations (there are already quite a few nice features that come with 1.6). Now these are the benchmarking results (see benchmark/basic.jl) Language of Implementation | Commit | Run Time in Seconds | Number of Allocations | Memory Usage –- | –- | –- | –- | –- Julia | ??? | 8.165 | 249021919 | 5.01 GiB

diff --git a/dev/caveats/index.html b/dev/caveats/index.html index af01070aa..d1acea2e3 100644 --- a/dev/caveats/index.html +++ b/dev/caveats/index.html @@ -5,4 +5,4 @@ julia> classifiers = learn(pos_training_path, neg_training_path, num_classifiers, min_feature_height, max_feature_height, min_feature_width, max_feature_width; scale = true, scale_to = (200, 200)) -julia> ensemble_vote_all(pos_testing_path, classifiers, scale = true, scale_to = (200, 200)) +julia> ensemble_vote_all(pos_testing_path, classifiers, scale = true, scale_to = (200, 200)) diff --git a/dev/examples/index.html b/dev/examples/index.html index a71df8566..6df802988 100644 --- a/dev/examples/index.html +++ b/dev/examples/index.html @@ -58,4 +58,4 @@ # print results println("$(string(correct_faces, "/", num_faces)) ($(correct_faces_percent) %) of positive images were correctly identified.") -println("$(string(correct_non_faces, "/", num_non_faces)) ($(correct_non_faces_percent) %) of positive images were correctly identified.") +println("$(string(correct_non_faces, "/", num_non_faces)) ($(correct_non_faces_percent) %) of positive images were correctly identified.") diff --git a/dev/index.html b/dev/index.html index e8974861b..c1a0654d9 100644 --- a/dev/index.html +++ b/dev/index.html @@ -3,14 +3,14 @@ Resolving package versions... Installed IfElse ─────────────── v0.1.1 Installed EllipsisNotation ───── v1.7.0 - Installed Reactive ───────────── v0.8.3 - Installed Static ─────────────── v0.8.8 Installed StaticArrayInterface ─ v1.4.1 - Installed StatsBase ──────────── v0.33.21 Installed GtkReactive ────────── v1.0.6 - Installed ArrayInterface ─────── v7.4.11 + Installed StatsBase ──────────── v0.33.21 Installed IntervalSets ───────── v0.5.4 + Installed Reactive ───────────── v0.8.3 Installed ImageView ──────────── v0.10.15 + Installed Static ─────────────── v0.8.8 + Installed ArrayInterface ─────── v7.4.11 Installed FaceDetection ──────── v1.1.0 Updating `~/work/FaceDetection.jl/FaceDetection.jl/docs/Project.toml` [00808967] ~ FaceDetection v1.1.0 `~/work/FaceDetection.jl/FaceDetection.jl` ⇒ v1.1.0 @@ -36,8 +36,8 @@ ✓ IfElse ✓ Reactive ✓ ArrayInterface - ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt ✓ Static + ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt ✓ StatsBase ✓ StaticArrayInterface ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt @@ -56,6 +56,6 @@ ✗ ImageView ✓ Images ✓ FaceDetection - 21 dependencies successfully precompiled in 36 seconds. 192 already precompiled. + 21 dependencies successfully precompiled in 32 seconds. 192 already precompiled. 9 dependencies precompiled but different versions are currently loaded. Restart julia to access the new versions - 2 dependencies errored. To see a full report either run `import Pkg; Pkg.precompile()` or load the packages

Index

+ 2 dependencies errored. To see a full report either run `import Pkg; Pkg.precompile()` or load the packages

Index

diff --git a/dev/resources/index.html b/dev/resources/index.html index 1d477057d..7a6d5bc87 100644 --- a/dev/resources/index.html +++ b/dev/resources/index.html @@ -13,4 +13,4 @@ https://www.wikiwand.com/en/List_of_datasets_for_machine-learning_research#/Object_detection_and_recognition https://www.wikiwand.com/en/List_of_datasets_for_machine-learning_research#/Other_images https://www.face-rec.org/databases/ -https://github.com/polarisZhao/awesome-face#-datasets +https://github.com/polarisZhao/awesome-face#-datasets diff --git a/dev/usage/index.html b/dev/usage/index.html index b1872f188..06f05473d 100644 --- a/dev/usage/index.html +++ b/dev/usage/index.html @@ -39,4 +39,4 @@ integral_image_arr::AbstractArray, top_left::Tuple{Int,Int}, bottom_right::Tuple{Int,Int} -) -> Number

Arguments

Returns

source +) -> Number

Arguments

Returns

source