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radionets is not stable yet, so expect large and rapid changes to structure and functionality as we explore various design choices before the 1.0 release.

radionets radionets
  • User Guide
  • Developer Guide
  • API Reference
  • Change Log
  • Cite Us
    • Bibliography
    • Glossary
  • GitHub
  • Radionets Project
  • User Guide
  • Developer Guide
  • API Reference
  • Change Log
  • Cite Us
  • Bibliography
  • Glossary
  • GitHub
  • Radionets Project

Section Navigation

  • Architecture Module (radionets.core)
    • Activation Functions (radionets.architecture.activation)
      • GeneralELU
      • GeneralReLU
      • Lambda
    • Architectures (radionets.architecture.archs)
      • SRResNet
      • SRResNet18
      • SRResNet34
      • SRResNet34_unc
      • SRResNet34_unc_no_grad
    • Blocks (radionets.architecture.blocks)
      • NNBlock
      • SRBlock
      • BottleneckResBlock
      • Encoder
      • Decoder
    • Layers (radionets.architecture.layers)
      • LocallyConnected2d
    • Uncertainty Architectures (radionets.architecture.unc_archs)
      • Uncertainty
      • UncertaintyWrapper
    • BottleneckResBlock
    • Decoder
    • Encoder
    • GeneralELU
    • GeneralReLU
    • Lambda
    • LocallyConnected2d
    • NNBlock
    • SRBlock
    • SRResNet
    • SRResNet18
    • SRResNet34
    • SRResNet34_unc
    • SRResNet34_unc_no_grad
    • Uncertainty
    • UncertaintyWrapper
  • Core Module (radionets.core)
    • Callbacks (radionets.core.callbacks)
      • CometCallback
      • AvgLossCallback
      • PredictionImageGradient
      • GradientCallback
      • SwitchLoss
      • SaveTempCallback
      • Normalize
      • DataAug
      • CudaCallback
    • Data (radionets.core.data)
      • get_bundles
      • get_dls
      • load_data
      • open_bundle
      • open_bundle_pack
      • open_fft_bundle
      • save_bundle
      • save_fft_pair
      • DataBunch
      • H5DataSet
    • Learner (radionets.core.learner)
      • get_learner
      • define_learner
    • Logging (radionets.core.logging)
      • setup_logger
    • Loss Functions (radionets.core.loss_functions)
      • beta_nll_loss
      • create_circular_mask
      • jet_seg
      • l1
      • mse
      • splitted_L1
      • splitted_L1_masked
    • Model (radionets.core.model)
      • init_cnn
      • load_pre_model
      • save_model
      • symmetry
    • Core Utils (radionets.core.utils)
      • get_ifft_torch
      • split_amp_phase
      • split_real_imag
    • define_learner
    • get_bundles
    • get_dls
    • get_learner
    • init_cnn
    • load_data
    • load_pre_model
    • open_bundle
    • open_bundle_pack
    • open_fft_bundle
    • save_bundle
    • save_fft_pair
    • save_model
    • setup_logger
    • symmetry
    • AvgLossCallback
    • CometCallback
    • CudaCallback
    • DataAug
    • DataBunch
    • GradientCallback
    • H5DataSet
    • Normalize
    • PredictionImageGradient
    • SaveTempCallback
    • SwitchLoss
  • Evaluation Module (radionets.evaluation)
    • Blob Detection (radionets.evaluation.blob_detection)
      • calc_blobs
      • corners
      • crop_first_component
    • Contour (radionets.evaluation.contour)
      • analyse_intensity
      • area_of_contour
      • compute_area_ratio
    • Dynamic Range (radionets.evaluation.dynamic_range)
      • calc_dr
      • compute_rms
      • get_boxsize
      • get_rms
      • select_box
    • Jet Angle (radionets.evaluatuion.jet_angle)
      • bmul
      • calc_jet_angle
      • im_to_array_value
      • pca
    • Jets (radionets.evaluatuion.jets)
      • fitgaussian_crop
      • fitgaussian_iterativ
    • Point Sources (radionets.evaluatuion.pointsources)
      • flux_comparison
      • get_length_extended
      • get_length_point
      • get_min_max
    • Training Inspection (radionets.evaluatuion.train_inspection)
      • after_training_plots
      • create_contour_plots
      • create_inspection_plots
      • create_predictions
      • create_source_plots
      • create_uncertainty_plots
      • evaluate_area
      • evaluate_area_sampled
      • evaluate_dynamic_range
      • evaluate_gan_sources
      • evaluate_intensity
      • evaluate_intensity_sampled
      • evaluate_mean_diff
      • evaluate_ms_ssim
      • evaluate_ms_ssim_sampled
      • evaluate_point
      • evaluate_unc
      • evaluate_viewing_angle
      • get_prediction
      • get_separate_prediction
      • save_sampled
    • Evaluation Utils (radionets.evaluatuion.utils)
      • apply_normalization
      • apply_symmetry
      • check_outpath
      • check_samp_file
      • check_vmin_vmax
      • create_databunch
      • create_sampled_databunch
      • eval_model
      • get_ifft
      • get_images
      • load_pretrained_model
      • make_axes_nice
      • mergeDictionary
      • preprocessing
      • process_prediction
      • read_config
      • read_pred
      • rescale_normalization
      • reshape_2d
      • sample_images
      • save_pred
      • source_list_collate
      • symmetry
      • trunc_rvs
      • sampled_dataset
  • Plotting (radionets.plotting)
    • Histograms (radionets.plotting.hist)
      • Hist
    • Inspection Plotting Tools (radionets.plotting.inspection)
      • plot_loss
      • plot_lr
      • plot_lr_loss
    • Visualization (radionets.plotting.visualization)
      • plot_box
      • plot_contour
      • plot_data
      • plot_fitgaussian
      • plot_inp_tar
      • plot_jet_components_results
      • plot_jet_results
      • plot_length_point
      • plot_target
      • visualize_sampled_unc
      • visualize_source_reconstruction
      • visualize_uncertainty
      • visualize_with_fourier
      • visualize_with_fourier_diff
    • plot_loss
    • plot_lr
    • plot_lr_loss
    • Hist
  • Training Module (radionets.evaluation)
    • Training Utils (radionets.training.utils)
      • check_outpath
      • create_databunch
      • define_arch
      • end_training
      • get_normalisation_factors
      • pop_interrupt
      • read_config
  • API Reference
  • Evaluation Module (radionets.evaluation)
  • Dynamic Range (radionets.evaluation.dynamic_range)

Dynamic Range (radionets.evaluation.dynamic_range)#

Dynamic range submodule of radionets.evaluation.

Reference/API#

radionets.evaluation.dynamic_range Module#

Functions#

calc_dr(ifft_truth, ifft_pred)

compute_rms(batch, size)

get_boxsize(num_corners[, num_pixel])

get_rms(ifft_truth, ifft_pred)

select_box(rms[, sensitivity])

previous

compute_area_ratio

next

calc_dr

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  • Reference/API
    • radionets.evaluation.dynamic_range Module
      • Functions

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