Merge branch 'main' of https://gitea.diehanis.de/Winz/NAO_Roboter_Erkennung

.gitignore

@@ -27,6 +27,7 @@ var/
 venv/
 ENV/
 env/
+yolov8env/
 .venv/
 .env/
 .ENV/
@@ -109,3 +110,7 @@ dmypy.json
 #Models
 *.keras
 *.h5
+
+runs/
+Test/
+yolo_dataset/

Readme.md

@@ -0,0 +1,3 @@
+# Nao Robotererkennung
+
+Trainingsdaten auf der Nextcloud

test_yolo.py

@@ -0,0 +1,20 @@
+from ultralytics import YOLO
+import os
+
+# Ordner mit Bildern
+image_dir = "Test"
+
+model = YOLO("Test/best.pt")
+
+# Schleife über alle Dateien im Ordner
+for filename in os.listdir(image_dir):
+    if filename.lower().endswith((".jpg", ".jpeg", ".png")):
+        image_path = os.path.join(image_dir, filename)
+       
+        results = model(image_path, save=True)  # Speichert Bild mit BBox
+
+        # Alternativ: Zugriff auf erkannte Objekte
+        for r in results:
+            print(r.boxes.xyxy)  # Koordinaten
+            print(r.boxes.conf)  # Confidence
+            print(r.boxes.cls)   # Klassen

train_yolo.py

@@ -6,6 +6,8 @@ import shutil
 from pathlib import Path
 import cv2
 import numpy as np
+import torch
+import torchvision
 
 def verify_images(dataset_path):
     """Überprüfe alle Bilder auf Lesbarkeit und korrekte Dimensionen."""
@@ -79,7 +81,7 @@ def train_yolo():
         epochs=50,
         imgsz=640,  # Bildgröße
         batch=16,    # Batch-Größe
-        device='cpu',  # Verwende CPU (oder 'cuda' für GPU)
+        device=0,  # Verwende CPU (oder 'cuda' für GPU)
         patience=5,   # Early Stopping
         save=True,    # Speichere die besten Gewichte
         project='yolo_training',  # Projektname

yolo_training/NAO_detector/args.yaml

@@ -10,7 +10,7 @@ imgsz: 640
 save: true
 save_period: -1
 cache: false
-device: cpu
+device: '0'
 workers: 8
 project: yolo_training
 name: NAO_detector

yolo_training/NAO_detector/results.csv

@@ -1,2 +1,25 @@
 epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
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+1,43.7328,1.25814,1.72863,1.17659,0.74518,0.84077,0.84291,0.48474,1.24266,1.73231,1.41437,0.000661654,0.000661654,0.000661654
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+3,128.01,1.33351,1.0706,1.24283,0.82519,0.675,0.75726,0.47482,1.28739,1.66125,1.38419,0.00191599,0.00191599,0.00191599
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yolo_training/NAO_detector/weights/best_openvino_model/metadata.yaml

@@ -0,0 +1,22 @@
+description: Ultralytics best model trained on yolo_dataset\dataset.yaml
+author: Ultralytics
+date: '2025-06-02T11:00:39.061455'
+version: 8.3.146
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: NAO-Roboter
+args:
+  batch: 1
+  fraction: 1.0
+  half: false
+  int8: false
+  dynamic: false
+  nms: false
+channels: 3

yolo_training/NAO_detector10/args.yaml

@@ -1,105 +0,0 @@
-task: detect
-mode: train
-model: yolov8n.pt
-data: yolo_dataset\dataset.yaml
-epochs: 50
-time: null
-patience: 5
-batch: 16
-imgsz: 640
-save: true
-save_period: -1
-cache: false
-device: cpu
-workers: 8
-project: yolo_training
-name: NAO_detector10
-exist_ok: false
-pretrained: true
-optimizer: auto
-verbose: true
-seed: 0
-deterministic: true
-single_cls: false
-rect: false
-cos_lr: false
-close_mosaic: 10
-resume: false
-amp: true
-fraction: 1.0
-profile: false
-freeze: null
-multi_scale: false
-overlap_mask: true
-mask_ratio: 4
-dropout: 0.0
-val: true
-split: val
-save_json: false
-conf: null
-iou: 0.7
-max_det: 300
-half: false
-dnn: false
-plots: true
-source: null
-vid_stride: 1
-stream_buffer: false
-visualize: false
-augment: false
-agnostic_nms: false
-classes: null
-retina_masks: false
-embed: null
-show: false
-save_frames: false
-save_txt: false
-save_conf: false
-save_crop: false
-show_labels: true
-show_conf: true
-show_boxes: true
-line_width: null
-format: torchscript
-keras: false
-optimize: false
-int8: false
-dynamic: false
-simplify: true
-opset: null
-workspace: null
-nms: false
-lr0: 0.01
-lrf: 0.01
-momentum: 0.937
-weight_decay: 0.0005
-warmup_epochs: 3.0
-warmup_momentum: 0.8
-warmup_bias_lr: 0.1
-box: 7.5
-cls: 0.5
-dfl: 1.5
-pose: 12.0
-kobj: 1.0
-nbs: 64
-hsv_h: 0.015
-hsv_s: 0.7
-hsv_v: 0.4
-degrees: 0.0
-translate: 0.1
-scale: 0.5
-shear: 0.0
-perspective: 0.0
-flipud: 0.0
-fliplr: 0.5
-bgr: 0.0
-mosaic: 1.0
-mixup: 0.0
-cutmix: 0.0
-copy_paste: 0.0
-copy_paste_mode: flip
-auto_augment: randaugment
-erasing: 0.4
-cfg: null
-tracker: botsort.yaml
-save_dir: yolo_training\NAO_detector10

yolo_training/NAO_detector2/args.yaml

@@ -1,105 +0,0 @@
-task: detect
-mode: train
-model: yolov8n.pt
-data: yolo_dataset\dataset.yaml
-epochs: 50
-time: null
-patience: 5
-batch: 16
-imgsz: 640
-save: true
-save_period: -1
-cache: false
-device: cpu
-workers: 8
-project: yolo_training
-name: NAO_detector2
-exist_ok: false
-pretrained: true
-optimizer: auto
-verbose: true
-seed: 0
-deterministic: true
-single_cls: false
-rect: false
-cos_lr: false
-close_mosaic: 10
-resume: false
-amp: true
-fraction: 1.0
-profile: false
-freeze: null
-multi_scale: false
-overlap_mask: true
-mask_ratio: 4
-dropout: 0.0
-val: true
-split: val
-save_json: false
-conf: null
-iou: 0.7
-max_det: 300
-half: false
-dnn: false
-plots: true
-source: null
-vid_stride: 1
-stream_buffer: false
-visualize: false
-augment: false
-agnostic_nms: false
-classes: null
-retina_masks: false
-embed: null
-show: false
-save_frames: false
-save_txt: false
-save_conf: false
-save_crop: false
-show_labels: true
-show_conf: true
-show_boxes: true
-line_width: null
-format: torchscript
-keras: false
-optimize: false
-int8: false
-dynamic: false
-simplify: true
-opset: null
-workspace: null
-nms: false
-lr0: 0.01
-lrf: 0.01
-momentum: 0.937
-weight_decay: 0.0005
-warmup_epochs: 3.0
-warmup_momentum: 0.8
-warmup_bias_lr: 0.1
-box: 7.5
-cls: 0.5
-dfl: 1.5
-pose: 12.0
-kobj: 1.0
-nbs: 64
-hsv_h: 0.015
-hsv_s: 0.7
-hsv_v: 0.4
-degrees: 0.0
-translate: 0.1
-scale: 0.5
-shear: 0.0
-perspective: 0.0
-flipud: 0.0
-fliplr: 0.5
-bgr: 0.0
-mosaic: 1.0
-mixup: 0.0
-cutmix: 0.0
-copy_paste: 0.0
-copy_paste_mode: flip
-auto_augment: randaugment
-erasing: 0.4
-cfg: null
-tracker: botsort.yaml
-save_dir: yolo_training\NAO_detector2

yolo_training/NAO_detector2/results.csv

@@ -1,2 +0,0 @@
-epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
-1,133.159,1.11402,2.41714,1.20281,1,0.37601,0.79951,0.55456,0.87553,2.60439,1.01905,0.00026,0.00026,0.00026

yolo_training/NAO_detector3/args.yaml

@@ -1,105 +0,0 @@
-task: detect
-mode: train
-model: yolov8n.pt
-data: yolo_dataset\dataset.yaml
-epochs: 50
-time: null
-patience: 5
-batch: 16
-imgsz: 640
-save: true
-save_period: -1
-cache: false
-device: cpu
-workers: 8
-project: yolo_training
-name: NAO_detector3
-exist_ok: false
-pretrained: true
-optimizer: auto
-verbose: true
-seed: 0
-deterministic: true
-single_cls: false
-rect: false
-cos_lr: false
-close_mosaic: 10
-resume: false
-amp: true
-fraction: 1.0
-profile: false
-freeze: null
-multi_scale: false
-overlap_mask: true
-mask_ratio: 4
-dropout: 0.0
-val: true
-split: val
-save_json: false
-conf: null
-iou: 0.7
-max_det: 300
-half: false
-dnn: false
-plots: true
-source: null
-vid_stride: 1
-stream_buffer: false
-visualize: false
-augment: false
-agnostic_nms: false
-classes: null
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-embed: null
-show: false
-save_frames: false
-save_txt: false
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-save_crop: false
-show_labels: true
-show_conf: true
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-format: torchscript
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-optimize: false
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-dynamic: false
-simplify: true
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-nms: false
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-lrf: 0.01
-momentum: 0.937
-weight_decay: 0.0005
-warmup_epochs: 3.0
-warmup_momentum: 0.8
-warmup_bias_lr: 0.1
-box: 7.5
-cls: 0.5
-dfl: 1.5
-pose: 12.0
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-hsv_s: 0.7
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-copy_paste: 0.0
-copy_paste_mode: flip
-auto_augment: randaugment
-erasing: 0.4
-cfg: null
-tracker: botsort.yaml
-save_dir: yolo_training\NAO_detector3

yolo_training/NAO_detector3/results.csv

@@ -1,8 +0,0 @@
-epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
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-2,316.983,0.99575,1.51901,1.10586,1,0.45683,0.90108,0.57564,1.10253,2.54986,1.13344,0.000529308,0.000529308,0.000529308
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-4,644.94,1.0202,1.33932,1.15516,0.61359,0.3,0.34609,0.22426,1.32221,2.85182,1.39251,0.00103466,0.00103466,0.00103466
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yolo_training/NAO_detector4/args.yaml

@@ -1,111 +0,0 @@
-task: detect
-mode: train
-model: yolov8n.pt
-data:
-  path: C:\Users\vincent.hanewinkel\Projekts\Hochschule\NAO_Roboter_Erkennung\yolo_dataset
-  train: train/images
-  val: val/images
-  names:
-    0: NAO-Roboter
-  nc: 1
-epochs: 100
-time: null
-patience: 100
-batch: 16
-imgsz: 640
-save: true
-save_period: -1
-cache: false
-device: cpu
-workers: 8
-project: yolo_training
-name: NAO_detector4
-exist_ok: false
-pretrained: true
-optimizer: auto
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-erasing: 0.4
-cfg: null
-tracker: botsort.yaml
-save_dir: yolo_training\NAO_detector4

yolo_training/NAO_detector5/args.yaml

@@ -1,105 +0,0 @@
-task: detect
-mode: train
-model: yolov8n.pt
-data: yolo_dataset/dataset.yaml
-epochs: 100
-time: null
-patience: 100
-batch: 16
-imgsz: 640
-save: true
-save_period: -1
-cache: false
-device: cpu
-workers: 8
-project: yolo_training
-name: NAO_detector5
-exist_ok: false
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-verbose: true
-seed: 0
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-amp: true
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yolo_training/NAO_detector6/args.yaml

@@ -1,105 +0,0 @@
-task: detect
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-save_dir: yolo_training\NAO_detector6

yolo_training/NAO_detector7/args.yaml

@@ -1,105 +0,0 @@
-task: detect
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yolo_training/NAO_detector8/args.yaml

@@ -1,105 +0,0 @@
-task: detect
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yolo_training/NAO_detector9/args.yaml

@@ -1,105 +0,0 @@
-task: detect
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