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thehaigo avatar thehaigo commented on June 18, 2024 2

@cocoa-xu yolov4 work! thank you berry much! πŸ™

mage = base <> "yolov4/dog.jpg"
weights = base <> "yolov4/yolov4.weights"
config = base <> "yolov4/yolov4.cfg"
dog = Ev.imread(image) |> Ev.resize({416,416})

model =
  Ev.DNN.DetectionModel.detectionModel(weights, config: config)
  |> Ev.DNN.DetectionModel.setInputParams(
    scale: 1.0 / 255.0,
    size: {416, 416},
    mean: {0, 0, 0},
    swapRB: true,
    crop: false
  )

{class_ids, confidences, boxes} 
 = Ev.DNN.DetectionModel.detect(model, dog, confThreshold: 0.5, nmsThreshold: 0.4)

boxes |> Enum.reduce(dog, fn {x,y,w,h}, mat -> 
  Ev.rectangle(mat, {x,y}, {x+w,y+h}, {0,0,255})
end)

γ‚Ήγ‚―γƒͺγƒΌγƒ³γ‚·γƒ§γƒƒγƒˆ 2022-11-13 1 42 45

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cocoa-xu avatar cocoa-xu commented on June 18, 2024 1

Hi @thehaigo thanks for reporting! I'll look into this issue today. :)

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cocoa-xu avatar cocoa-xu commented on June 18, 2024 1

Oh I see, fix is on the way!

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cocoa-xu avatar cocoa-xu commented on June 18, 2024 1

Perfect!

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cocoa-xu avatar cocoa-xu commented on June 18, 2024

setInputParams/2 is fixed in v0.1.17

This code should work as expected now. :) @thehaigo

Evision.DNN.DetectionModel.detectionModel(weights, config: config)
|> Evision.DNN.Model.setInputParams(scale: 1.0, size: {416, 416}, mean: {0, 0, 0}, swapRB: true, crop: false)

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thehaigo avatar thehaigo commented on June 18, 2024
Ev.DNN.DetectionModel.detectionModel(weights, config: config)
|> Ev.DNN.Model.setInputParams(scale: 1.0, size: {416, 416}, mean: {0, 0, 0}, swapRB: true, crop: false)

return error

{:error, "cannot get `cv::dnn::Model` from `self`: mismatched type or invalid resource?"}

precompile can't install

Mix.install(
  [
    {:evision, "~> 0.1.17"},
    {:kino, "~> 0.7.0"}
  ]
)
Compiling 1 file (.ex)
Generated elixir_make app

22:24:57.041 [info] EVISION_PREFER_PRECOMPILED: true; try to download and use the precompiled library.

22:24:57.042 [info] Requested version `0.1.17` has precompiled binaries.

22:24:57.043 [info] Current target `aarch64-apple-darwin` has precompiled binaries.

22:24:57.043 [info] Current NIF version `2.16` has precompiled binaries.

22:24:57.051 [info] Precompiled binary tarball cached at /Users/shou/Library/Caches/evision-nif_2.16-aarch64-apple-darwin-0.1.17.tar.gz, sha256=fb388dd732462ad11cd0154caea8be144ab89cb00c627212a891f6df62d8486e
==> evision
could not compile dependency :evision, "mix compile" failed. Errors may have been logged above. You can recompile this dependency with "mix deps.compile evision", update it with "mix deps.update evision" or clean it with "mix deps.clean evision"
** (FunctionClauseError) no function clause matching in IO.chardata_to_string/1    
    
    The following arguments were given to IO.chardata_to_string/1:
    
        # 1
        {"/Users/shou/Library/Caches/mix/installs/elixir-1.14.1-erts-13.0.4/7d3716c1e3be082adf0e059eed9641b4/deps/evision/checksum-evision.exs",
         "/Users/shou/Library/Caches/mix/installs/elixir-1.14.1-erts-13.0.4/7d3716c1e3be082adf0e059eed9641b4/deps/evision/checksum_evision.erl"}
    
    Attempted function clauses (showing 2 out of 2):
    
        def chardata_to_string(string) when is_binary(string)
        def chardata_to_string(list) when is_list(list)
    
    (elixir 1.14.1) IO.chardata_to_string/1
    (elixir 1.14.1) lib/file.ex:344: File.read/1
    /Users/shou/Library/Caches/mix/installs/elixir-1.14.1-erts-13.0.4/7d3716c1e3be082adf0e059eed9641b4/deps/evision/mix.exs:81: Mix.Tasks.Compile.EvisionPrecompiled.read_checksum_map/1
    /Users/shou/Library/Caches/mix/installs/elixir-1.14.1-erts-13.0.4/7d3716c1e3be082adf0e059eed9641b4/deps/evision/mix.exs:561: Mix.Tasks.Compile.EvisionPrecompiled.verify_checksum/3
    /Users/shou/Library/Caches/mix/installs/elixir-1.14.1-erts-13.0.4/7d3716c1e3be082adf0e059eed9641b4/deps/evision/mix.exs:490: Mix.Tasks.Compile.EvisionPrecompiled.prepare/4
    (mix 1.14.1) lib/mix/task.ex:421: anonymous fn/3 in Mix.Task.run_task/4
    (mix 1.14.1) lib/mix/tasks/compile.all.ex:92: Mix.Tasks.Compile.All.run_compiler/2
    /Users/shou/livebook_samples/OpenCV/opencv_dnn_ch7.livemd#cell:setup:1: (file)

below is success

Mix.install(
  [{:evision, "~> 0.1.17"}],
  system_env: [
    {"EVISION_PREFER_PRECOMPILED", "false"}
  ]
)

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thehaigo avatar thehaigo commented on June 18, 2024

tried ubuntu

docker run -p 8080:8080 -p 8081:8081 --pull always livebook/livebook

mix install same error

13:35:11.611 [info] EVISION_PREFER_PRECOMPILED: true; try to download and use the precompiled library.

13:35:11.612 [info] Requested version `0.1.17` has precompiled binaries.

13:35:11.612 [info] Current target `aarch64-linux-gnu` has precompiled binaries.

13:35:11.612 [info] Current NIF version `2.16` has precompiled binaries.

13:35:15.346 [info] Precompiled binary tarball downloaded and saved to /home/livebook/.cache/evision-nif_2.16-aarch64-linux-gnu-0.1.17.tar.gz, sha256=19b59d93d15f8d9b6ec9ed5a607d50ce2fd6634d69ac6b9a7a27104254041df1
==> evision
could not compile dependency :evision, "mix compile" failed. Errors may have been logged above. You can recompile this dependency with "mix deps.compile evision", update it with "mix deps.update evision" or clean it with "mix deps.clean evision"
** (FunctionClauseError) no function clause matching in IO.chardata_to_string/1    
    
    The following arguments were given to IO.chardata_to_string/1:
    
        # 1
        {"/home/livebook/.cache/mix/installs/elixir-1.14.0-erts-12.3.2.2/ee693d317f2cbd2d172de21c2538751d/deps/evision/checksum-evision.exs",
         "/home/livebook/.cache/mix/installs/elixir-1.14.0-erts-12.3.2.2/ee693d317f2cbd2d172de21c2538751d/deps/evision/checksum_evision.erl"}
    
    Attempted function clauses (showing 2 out of 2):
    
        def chardata_to_string(string) when is_binary(string)
        def chardata_to_string(list) when is_list(list)
    
    (elixir 1.14.0) IO.chardata_to_string/1
    (elixir 1.14.0) lib/file.ex:344: File.read/1
    /home/livebook/.cache/mix/installs/elixir-1.14.0-erts-12.3.2.2/ee693d317f2cbd2d172de21c2538751d/deps/evision/mix.exs:81: Mix.Tasks.Compile.EvisionPrecompiled.read_checksum_map/1
    /home/livebook/.cache/mix/installs/elixir-1.14.0-erts-12.3.2.2/ee693d317f2cbd2d172de21c2538751d/deps/evision/mix.exs:561: Mix.Tasks.Compile.EvisionPrecompiled.verify_checksum/3
    /home/livebook/.cache/mix/installs/elixir-1.14.0-erts-12.3.2.2/ee693d317f2cbd2d172de21c2538751d/deps/evision/mix.exs:534: Mix.Tasks.Compile.EvisionPrecompiled.prepare/4
    (mix 1.14.0) lib/mix/task.ex:421: anonymous fn/3 in Mix.Task.run_task/4
    (mix 1.14.0) lib/mix/tasks/compile.all.ex:92: Mix.Tasks.Compile.All.run_compiler/2
    (mix 1.14.0) lib/mix/tasks/compile.all.ex:72: Mix.Tasks.Compile.All.compile/4

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cocoa-xu avatar cocoa-xu commented on June 18, 2024

Hi @thehaigo, I released v0.1.18 and also added a test for Evision.DNN.DetectionModel with yolov4.

The following code should give you the expected output now.

iex> dog = "dog.jpg"
iex> weights = "yolov4.weights"
iex> config = "yolov4.cfg"
iex> mat = Evision.imread(dog)
iex> Evision.DNN.DetectionModel.detectionModel(weights, config: config)
iex> |> Evision.DNN.DetectionModel.setInputParams(scale: 1.0, size: {416, 416}, mean: {0, 0, 0}, swapRB: true, crop: false)
iex> |> Evision.DNN.DetectionModel.detect(mat)
{[0, 24, 24, 24, 0, 24, 24, 0, 47, 9, 9, 9, 9, 9, 9, 26, 24, 12, 12, 47, 24, 24,
  24, 26, 26, 26, 26, 26, 26, 26, 47, 26, 26],
 [0.6718131303787231, 0.8944537043571472, 0.5458226799964905, 0.674974799156189,
  0.9186239838600159, 0.9345014691352844, 0.8716281056404114,
  0.6807704567909241, 0.529909610748291, 0.8524839878082275, 0.7546082735061646,
  0.6172801852226257, 0.6529494524002075, 0.7684603929519653,
  0.8480220437049866, 0.9516295790672302, 0.9047489166259766,
  0.9447915554046631, 0.7290478348731995, 0.7423124313354492,
  0.8002534508705139, 0.6577810645103455, 0.6949653029441833,
  0.8610342144966125, 0.5206403136253357, 0.5880995392799377, 0.746155858039856,
  0.6399684548377991, 0.7865645289421082, 0.6371464729309082,
  0.6925340294837952, 0.7681138515472412, 0.6114254593849182],
 [
   {68, 7, 20, 2},
   {87, 7, 13, 1},
   {203, 6, 25, 3},
   {220, 5, 24, 3},
   {235, 7, 18, 2},
   {244, 6, 22, 4},
   {256, 7, 33, 3},
   {269, 7, 38, 2},
   {443, 8, 20, 1},
   {665, 4, 9, 6},
   {720, 8, 14, 4},
   {725, 6, 41, 5},
   {756, 2, 12, 5},
   {578, 76, 2, 5},
   {737, 74, 4, 7},
   {545, 132, 1, 1},
   {235, 176, 7, 9},
   {368, 211, 4, 1},
   {379, 211, 5, 1},
   {457, 213, 3, 2},
   {422, 222, 4, 1},
   {0, 274, 1, 41},
   {0, 307, 1, 38},
   {0, 420, 1, 17},
   {0, 433, 1, 13},
   {0, 443, 1, 14},
   {0, 463, 1, 17},
   {0, 495, 1, 20},
   {0, 505, 1, 16},
   {766, 518, 2, 10},
   {161, 533, 6, 3},
   {767, 531, 1, 7},
   {0, 535, 1, 28}
 ]}

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jodyalbritton avatar jodyalbritton commented on June 18, 2024

@cocoa-xu I am getting this error again with the latest version, built from source.

{:error,
 "cannot get `cv::dnn::DetectionModel` from `self`: mismatched type or invalid resource?"}

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cocoa-xu avatar cocoa-xu commented on June 18, 2024

Hi @jodyalbritton, I built it from source, and it appeared to work here. Could you please provide more information regarding your environment and/or related lines?

Below is the full log of compiling this library from source, loading, setting input data and getting the output using YOLOv4.

https://asciinema.org/a/VGICovAqdyCphtEETvXA6BUBn

Compiling stage: starting from 0:00 to 3:40
Using YOLOv4: starting from 3:40

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jodyalbritton avatar jodyalbritton commented on June 18, 2024

recompiled and it is working now. Not sure what I did wrong. Thanks for responding.

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