From 1e4826fc39b8329848c1d8dda9fd36d55994448b Mon Sep 17 00:00:00 2001
From: Pandapowr <144907656+PandapowrTR@users.noreply.github.com>
Date: Tue, 16 Jan 2024 22:14:52 +0300
Subject: [PATCH] Delete Data/Dominate/DominateLabel.py

---
 Data/Dominate/DominateLabel.py | 117 ---------------------------------
 1 file changed, 117 deletions(-)
 delete mode 100644 Data/Dominate/DominateLabel.py

diff --git a/Data/Dominate/DominateLabel.py b/Data/Dominate/DominateLabel.py
deleted file mode 100644
index e7dbf66..0000000
--- a/Data/Dominate/DominateLabel.py
+++ /dev/null
@@ -1,117 +0,0 @@
-import sys, os, json
-
-sys.path.append(os.path.join(os.path.abspath(__file__).split("Burobot")[0], "Burobot"))
-
-
-def convert_albumentations_labels_to_yolo(labels_path: str):
-    if not os.path.exists(labels_path):
-        raise FileNotFoundError("Can't find path 🤷\nlabels_path:" + str(labels_path))
-
-    yolo_labels = []
-    class_labels = []
-
-    for root, dirs, files in os.walk(labels_path):
-        for file in files:
-            if str(file).endswith(".json"):
-                img_width, img_height = 0, 0
-                with open(os.path.join(root, file), "r") as label_file:
-                    label_data = json.load(label_file)
-                    img_width, img_height = (
-                        label_data["imageWidth"],
-                        label_data["imageHeight"],
-                    )
-                    corrs = label_data["shapes"]
-                    for corr in corrs:
-                        label_name = corr["label"]
-                        if label_name not in class_labels:
-                            class_labels.append(label_name)
-
-    for root, dirs, files in os.walk(labels_path):
-        for file in files:
-            if str(file).endswith(".json"):
-                with open(os.path.join(root, file), "r") as label_file:
-                    label_data = json.load(label_file)
-                    corrs = label_data["shapes"]
-                    yolo_label_list = []
-
-                    for corr in corrs:
-                        label_name = corr["label"]
-                        class_index = class_labels.index(label_name)
-                        corr = corr["points"][0]
-                        x_min, y_min, x_max, y_max = corr[0], corr[1], corr[2], corr[3]
-                        x_center = (x_min + x_max) / 2.0
-                        y_center = (y_min + y_max) / 2.0
-                        width = x_max - x_min
-                        height = y_max - y_min
-
-                        yolo_label = [class_index, x_center, y_center, width, height]
-                        yolo_label_list.append(yolo_label)
-
-                    yolo_txt_file_path = os.path.join(
-                        root, ".".join(file.split(".")[:-1]) + ".txt"
-                    )
-                    with open(yolo_txt_file_path, "w") as yolo_txt:
-                        for i, yolo_label in enumerate(yolo_label_list):
-                            end = "\n"
-                            if i == len(yolo_label_list) - 1:
-                                end = ""
-                            yolo_txt.write(
-                                f"{yolo_label[0]} {yolo_label[1]} {yolo_label[2]} {yolo_label[3]} {yolo_label[4]}"
-                                + end
-                            )
-
-                # JSON dosyasını silin
-                os.remove(os.path.join(root, file))
-
-
-def split_labels_to_txt(
-    labels_path: str, save_to_path: str, split_ratio: tuple = (0.8, 0.1), add_to_start:str="", labels_file_types:tuple = (".json", ".txt")
-):
-    """NOTE split_ratio = (train, test), val = 1 - (train+test)"""
-    if not os.path.exists(labels_path):
-        raise FileNotFoundError("Can't find path 🤷\nlabels_path:" + str(labels_path))
-    if not os.path.exists(save_to_path):
-        raise FileNotFoundError("Can't find path 🤷\nsave_to_path:" + str(save_to_path))
-
-    if len(split_ratio) != 2 or any(
-        split_ratio[i] < 0 for i in range(len(split_ratio))
-    ):
-        raise ValueError("split_raito value is invalid. Please check the data 🔢")
-
-    print("Splitting labels to txt files 🔪📰")
-    labels = []
-
-    for root, _, files in os.walk(labels_path):
-        for file in files:
-            if str(file).endswith(labels_file_types):
-                labels.append(str(add_to_start)+ file)
-
-    train_labels = []
-    test_labels = []
-    val_labels = []
-
-    train_labels = labels[: int(len(labels) * split_ratio[0])]
-    test_labels = labels[
-        int(len(labels) * split_ratio[0]) : int(
-            len(labels) * (split_ratio[0] + split_ratio[1])
-        )
-    ]
-    val_labels = labels[int(len(labels) * (split_ratio[0] + split_ratio[1])) :]
-    train = ""
-    for t in train_labels:
-        train += t + "\n"
-    with open(os.path.join(save_to_path, "train.txt"), "w") as train_file:
-        train_file.write(train.replace("\\", "/"))
-
-    test = ""
-    for t in test_labels:
-        test += t + "\n"
-    with open(os.path.join(save_to_path, "test.txt"), "w") as test_file:
-        test_file.write(test.replace("\\", "/"))
-
-    val = ""
-    for v in val_labels:
-        val += v + "\n"
-    with open(os.path.join(save_to_path, "val.txt"), "w") as val_file:
-        val_file.write(val.replace("\\", "/"))
-