From 6230cb863e9eeefb75701030ece2efae5a603506 Mon Sep 17 00:00:00 2001
From: manonBlanco <blanco@teklia.com>
Date: Tue, 13 Jun 2023 10:41:20 +0200
Subject: [PATCH] Remove DPI adjustment from the data preprocessing
---
dan/manager/dataset.py | 13 -------------
docs/usage/train/parameters.md | 8 --------
2 files changed, 21 deletions(-)
diff --git a/dan/manager/dataset.py b/dan/manager/dataset.py
index 9d987c68..0b3904e7 100644
--- a/dan/manager/dataset.py
+++ b/dan/manager/dataset.py
@@ -355,19 +355,6 @@ def apply_preprocessing(sample, preprocessings):
resize_ratio = [1, 1]
img = sample["img"]
for preprocessing in preprocessings:
- if preprocessing["type"] == "dpi":
- ratio = preprocessing["target"] / preprocessing["source"]
- temp_img = img
- h, w, c = temp_img.shape
- temp_img = cv2.resize(
- temp_img, (int(np.ceil(w * ratio)), int(np.ceil(h * ratio)))
- )
- if len(temp_img.shape) == 2:
- temp_img = np.expand_dims(temp_img, axis=2)
- img = temp_img
-
- resize_ratio = [ratio, ratio]
-
if preprocessing["type"] == "to_grayscaled":
temp_img = img
h, w, c = temp_img.shape
diff --git a/docs/usage/train/parameters.md b/docs/usage/train/parameters.md
index e1dc0736..afd71f94 100644
--- a/docs/usage/train/parameters.md
+++ b/docs/usage/train/parameters.md
@@ -28,14 +28,6 @@ All hyperparameters are specified and editable in the training scripts (meaning
Preprocessing is applied before training the network (see `dan/manager/dataset.py`).
The following transformations are implemented:
-* DPI adjustment
-```py
- {
- "type": "dpi",
- "source": 300,
- "target": 150,
- }
-```
* Convert to grayscale
```py
{
--
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