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can't import `arraymancer_vision`

Open terasakisatoshi opened this issue 6 years ago • 5 comments

Hi, I would like to your module but can't import

here is the code I tested

#sample.nim
import arraymancer_vision
echo "hello"

and here is an error log

$ nim c sample.nim
terasakisatoshis-MacBook:official terasakisatoshi$ subl sample.nim 
terasakisatoshis-MacBook:official terasakisatoshi$ 
terasakisatoshis-MacBook:official terasakisatoshi$ 
terasakisatoshis-MacBook:official terasakisatoshi$ 
terasakisatoshis-MacBook:official terasakisatoshi$ 
terasakisatoshis-MacBook:official terasakisatoshi$ 
terasakisatoshis-MacBook:official terasakisatoshi$ nim c sample.nim 
Hint: used config file '/Users/terasakisatoshi/.choosenim/toolchains/nim-0.18.0/config/nim.cfg' [Conf]
Hint: system [Processing]
Hint: sample [Processing]
Hint: arraymancer_vision [Processing]
Hint: math [Processing]
Hint: strutils [Processing]
Hint: parseutils [Processing]
Hint: algorithm [Processing]
Hint: sequtils [Processing]
Hint: macros [Processing]
Hint: random [Processing]
Hint: times [Processing]
Hint: posix [Processing]
Hint: typetraits [Processing]
Hint: future [Processing]
Hint: os [Processing]
Hint: ospaths [Processing]
Hint: read [Processing]
Hint: components [Processing]
Hint: write [Processing]
Hint: streams [Processing]
Hint: arraymancer [Processing]
Hint: nimblas [Processing]
Hint: tensor [Processing]
Hint: metadataArray [Processing]
Hint: global_config [Processing]
Hint: data_structure [Processing]
Hint: init_cpu [Processing]
Hint: functional [Processing]
Hint: nested_containers [Processing]
Hint: sequninit [Processing]
Hint: p_checks [Processing]
Hint: p_init_cpu [Processing]
Hint: init_copy_cpu [Processing]
Hint: higher_order_applymap [Processing]
Hint: openmp [Processing]
Hint: memory_optimization_hints [Processing]
Hint: accessors [Processing]
Hint: p_accessors [Processing]
Hint: p_shapeshifting [Processing]
Hint: accessors_macros_syntax [Processing]
Hint: accessors_macros_read [Processing]
Hint: p_accessors_macros_desugar [Processing]
Hint: p_accessors_macros_read [Processing]
Hint: ast_utils [Processing]
Hint: accessors_macros_write [Processing]
Hint: p_accessors_macros_write [Processing]
Hint: operators_comparison [Processing]
Hint: shapeshifting [Processing]
Hint: higher_order_foldreduce [Processing]
Hint: display [Processing]
Hint: p_display [Processing]
Hint: ufunc [Processing]
Hint: operators_blas_l1 [Processing]
Hint: operators_blas_l2l3 [Processing]
Hint: p_operator_blas_l2l3 [Processing]
Hint: blas_l3_gemm [Processing]
Hint: naive_l2_gemv [Processing]
Hint: operators_broadcasted [Processing]
Hint: operators_logical [Processing]
Hint: math_functions [Processing]
Hint: filling_data [Processing]
Hint: aggregate [Processing]
Hint: lapack [Processing]
Hint: optim_ops_fusion [Processing]
Hint: syntactic_sugar [Processing]
Hint: exporting [Processing]
Hint: nn_primitives [Processing]
Hint: nnp_activation [Processing]
Hint: p_activation [Processing]
Hint: p_logsumexp [Processing]
Hint: nnp_convolution [Processing]
Hint: p_nnp_types [Processing]
Hint: conv [Processing]
Hint: nnp_linear [Processing]
Hint: nnp_sigmoid_cross_entropy [Processing]
Hint: math_ops_fusion [Processing]
Hint: p_nnp_checks [Processing]
Hint: nnp_softmax_cross_entropy [Processing]
Hint: nnp_maxpooling [Processing]
Hint: nnp_softmax [Processing]
Hint: nnp_numerical_gradient [Processing]
Hint: autograd [Processing]
Hint: ag_data_structure [Processing]
Hint: gates_basic [Processing]
Hint: gates_blas [Processing]
Hint: gates_reduce [Processing]
Hint: ag_accessors [Processing]
Hint: nn [Processing]
Hint: sigmoid [Processing]
Hint: relu [Processing]
Hint: tanh [Processing]
Hint: linear [Processing]
Hint: conv2D [Processing]
Hint: maxpool2D [Processing]
Hint: cross_entropy_losses [Processing]
Hint: loss [Processing]
Hint: mean_square_error_loss [Processing]
Hint: ml [Processing]
Hint: accuracy_score [Processing]
Hint: common_error_functions [Processing]
Hint: pca [Processing]
Hint: linear_algebra [Processing]
Hint: least_squares [Processing]
Hint: nimlapack [Processing]
Hint: fenv [Processing]
Hint: decomposition [Processing]
Hint: optimizers [Processing]
Hint: reshape_flatten [Processing]
Hint: nn_dsl [Processing]
Hint: dsl_core [Processing]
Hint: tables [Processing]
Hint: hashes [Processing]
Hint: dsl_types [Processing]
Hint: dsl_initialization [Processing]
Hint: dsl_utils [Processing]
Hint: dsl_topology [Processing]
Hint: dsl_forwardsugar [Processing]
Hint: mnist [Processing]
Hint: endians [Processing]
Hint: io_csv [Processing]
Hint: parsecsv [Processing]
Hint: lexbase [Processing]
Hint: stats [Processing]
/Users/terasakisatoshi/.nimble/pkgs/arraymancer_vision-0.0.3/arraymancer_vision/imageio.nim(44, 20) Error: attempting to call undeclared routine: 'unsafeToTensorReshape'

and here is my environment

OS MacOSX 10.13.4 (High Sierra)
nim 0.18.0
arraymancer 0.4.0
stb_image 2.1

terasakisatoshi avatar Jun 01 '18 10:06 terasakisatoshi

Hello @terasakisatoshi,

Unfortunately Arraymancer Vision has not been updated following changes in Arraymancer 0.3.0 and 0.4.0.

I do plan to at least add image reading in the main repo, do you have any other needs?

mratsim avatar Jun 06 '18 09:06 mratsim

I've added reading from and writing to images: https://github.com/mratsim/Arraymancer/pull/244.

mratsim avatar Jun 06 '18 20:06 mratsim

Thank you for your modification. I have confirmed I can read image via arraymancer :

import arraymancer
var origimage=read_image("nim.png")
echo origimage.shape # [4, 900, 1187]
origimage.write_png("output_from_nim.png")

I do plan to at least add image reading in the main repo, do you have any other needs? For now, reading or output image feature is enough for me. If you find the time, It is appreciated to add feature that it visualizes image.

terasakisatoshi avatar Jun 07 '18 04:06 terasakisatoshi

For the visualisation I think that should be added as an external library.

You can check nim-plotly and here is an example of using nim-plotly with arraymancer: NeuralNetworkLiveDemo

mratsim avatar Jun 07 '18 12:06 mratsim

Thank you for your information!!! This is cool! I will try it.

terasakisatoshi avatar Jun 09 '18 01:06 terasakisatoshi