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1 parent 0766e12 commit 33a4bebCopy full SHA for 33a4beb
src/aind_exaspim_image_compression/evaluate.py
@@ -16,7 +16,6 @@
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import numpy as np
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import os
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import pandas as pd
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-import tifffile
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import torch
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from aind_exaspim_image_compression.machine_learning import data_handling
@@ -165,9 +164,6 @@ def compute_metrics(
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noise = input_noise[5:-5, 5:-5, 5:-5]
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denoised_gt = np.maximum(bm4d(noise, 10), 0).astype(int)
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denoised = predict_patch(input_noise, self.model)[5:-5, 5:-5, 5:-5]
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- tifffile.imwrite("noise.tiff", noise)
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- tifffile.imwrite("denoised.tiff", denoised.astype(float))
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- tifffile.imwrite("denoised_gt.tiff", denoised_gt.astype(float))
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# Compute metrics
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metrics["cratio"].append(compute_cratio(denoised, self.codec))
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