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a/dataset/labels/valid/image_2023-03-19_140831683_png.rf.9485f203a3db2db1fb3c084be2fbf76c.txt b/dataset/labels/valid/image_2023-03-19_140831683_png.rf.9485f203a3db2db1fb3c084be2fbf76c.txt new file mode 100644 index 00000000..f819dd1f --- /dev/null +++ b/dataset/labels/valid/image_2023-03-19_140831683_png.rf.9485f203a3db2db1fb3c084be2fbf76c.txt @@ -0,0 +1 @@ +7 0.43298969062500003 0 0.40721649531250004 0.0384615390625 0.38659793750000004 0.33076923125 0.3041237109375 0.48461538437499996 0.298969071875 0.915384615625 0.34020618593749996 0.9884615390624999 0.5154639171875 1 0.5412371140625 0.9692307687499999 0.59793814375 0.953846153125 0.6288659796875 0.9 0.654639175 0.46923076874999997 0.59793814375 0.3576923078125 0.5773195875 0.146153846875 0.5927835046875 0.11538461562499999 0.5876288656249999 0.01923076875 0.5618556703124999 0 0.43298969062500003 0 \ No newline at end of file diff --git a/dataset/labels/valid/image_2023-03-19_140842500_png.rf.561e048641608e519a436a81b611b65f.txt 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0.5729613734375001 0.1266094421875 0.5836909875 0.115879828125 0.575107296875 0.02360515 0.5472102999999999 0.0107296140625 0.47639485 0.008583690625 0.43991416250000004 0.012875535937499998 0.42274678125 0.0257510734375 0.41201716718750003 0.11802575156249999 \ No newline at end of file diff --git a/dataset/yolo.yaml b/dataset/yolo.yaml new file mode 100644 index 00000000..ee129180 --- /dev/null +++ b/dataset/yolo.yaml @@ -0,0 +1,5 @@ +train: C:/Users/Abner/Desktop/foodsnap/dataset/images/train +val: C:/Users/Abner/Desktop/foodsnap/dataset/images/valid + +nc: 12 +names: ['Apple', 'Chapathi', 'Chicken Gravy', 'Fries', 'Idli', 'Pizza', 'Rice', 'Soda', 'Tomato', 'Vada', 'banana', 'burger'] diff --git a/images (1).jpeg b/images (1).jpeg new file mode 100644 index 00000000..e8398cbd Binary files /dev/null and b/images (1).jpeg differ diff --git a/modeltest.ipynb b/modeltest.ipynb new file mode 100644 index 00000000..060c6bd4 --- /dev/null +++ b/modeltest.ipynb @@ -0,0 +1,100 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "91059426", + "metadata": {}, + "outputs": [], + "source": [ + "from ultralytics import YOLO" + ] + }, + { + "cell_type": "markdown", + "id": "afc12673", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9f968271", + "metadata": {}, + "outputs": [], + "source": [ + "model=YOLO('best.pt')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "953c148b", + "metadata": {}, + "outputs": [], + "source": [ + "image_path=r'C:\\Users\\Abner\\foodsnap-ai\\chapati.jpeg'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cc77fe82", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "image 1/1 C:\\Users\\Abner\\foodsnap-ai\\chapati.jpeg: 448x640 1 Chapathi, 120.9ms\n", + "Speed: 7.1ms preprocess, 120.9ms inference, 11.8ms postprocess per image at shape (1, 3, 448, 640)\n" + ] + } + ], + "source": [ + "results=model.predict(image_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cb8fe35d", + "metadata": {}, + "outputs": [], + "source": [ + "result=results[0]\n", + "result.show()" + ] + }, + { + "cell_type": "markdown", + "id": "41d1bd06", + "metadata": {}, + "source": [ + "it correctly classifies\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/nutrition.db b/nutrition.db new file mode 100644 index 00000000..e92320fa Binary files /dev/null and b/nutrition.db differ diff --git a/nutrition_db.py b/nutrition_db.py new file mode 100644 index 00000000..15a29fa5 --- /dev/null +++ b/nutrition_db.py @@ -0,0 +1,45 @@ +from sqlalchemy import create_engine,Integer,Column,String,Float +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import sessionmaker + +Base=declarative_base() + +class FoodItem(Base): + __tablename__='food_items' + + id = Column(Integer,primary_key=True) + name = Column(String,unique=True,nullable=False) + calories = Column(Float) + protein = Column(Float) + carbs = Column(Float) + fat = Column(Float) + +engine=create_engine('sqlite:///nutrition.db') + +Base.metadata.create_all(engine) + +Session=sessionmaker(bind=engine) +session=Session() + +foods=[ + FoodItem(name='Chapathi',calories=120,protein=3.5,carbs=22,fat=2.0), + FoodItem(name='Apple',calories=51,protein=0.6,carbs=11.6,fat=0.5), + FoodItem(name='Chicken Gravy',calories=180,protein=17.0,carbs=4,fat=11), + FoodItem(name='Fries',calories=312,protein=3.4,carbs=41,fat=15), + FoodItem(name='Idli',calories=128,protein=2.7,carbs=27,fat=0.4), + FoodItem(name='Pizza',calories=266,protein=11.0,carbs=33.0,fat=10), + FoodItem(name="Rice", calories=130, protein=2.7, carbs=28, fat=0.3), + FoodItem(name="Vada", calories=320, protein=6.5, carbs=35, fat=20), + FoodItem(name="Banana", calories=89, protein=1.1, carbs=23, fat=0.3), + FoodItem(name="Burger", calories=295, protein=13.0, carbs=30, fat=14), + FoodItem(name="Soda", calories=42, protein=0.0, carbs=11, fat=0.0), + FoodItem(name='Tomato',calories=16,protein=0.7,carbs=3.5,fat=0.2) + +] +for food in foods: + if not session.query(FoodItem).filter_by(name=food.name).first(): + session.add(food) + +session.commit() +session.close() +print("Food data inserted succesfully.") \ No newline at end of file diff --git a/runs/detect/train/args.yaml b/runs/detect/train/args.yaml new file mode 100644 index 00000000..8b35a225 --- /dev/null +++ b/runs/detect/train/args.yaml @@ -0,0 +1,105 @@ +task: detect +mode: train +model: best.pt +data: C:\Users\Abner\Desktop\foodsnap\dataset\yolo.yaml +epochs: 20 +time: null +patience: 100 +batch: 16 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: cpu +workers: 8 +project: null +name: train +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: runs\detect\train diff --git a/runs/detect/train2/args.yaml b/runs/detect/train2/args.yaml new file mode 100644 index 00000000..66bd8d00 --- /dev/null +++ b/runs/detect/train2/args.yaml @@ -0,0 +1,105 @@ +task: detect +mode: train +model: best.pt +data: C:\Users\Abner\Desktop\foodsnap\dataset\yolo.yaml +epochs: 20 +time: null +patience: 100 +batch: 16 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: cpu +workers: 8 +project: null +name: train2 +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: runs\detect\train2 diff --git a/runs/detect/train3/F1_curve.png b/runs/detect/train3/F1_curve.png new file mode 100644 index 00000000..002bf210 Binary files /dev/null and b/runs/detect/train3/F1_curve.png differ diff --git a/runs/detect/train3/PR_curve.png b/runs/detect/train3/PR_curve.png new file mode 100644 index 00000000..3f4b8a3e Binary files /dev/null and b/runs/detect/train3/PR_curve.png differ diff --git a/runs/detect/train3/P_curve.png b/runs/detect/train3/P_curve.png new file mode 100644 index 00000000..2f1d60c9 Binary files /dev/null and b/runs/detect/train3/P_curve.png differ diff --git a/runs/detect/train3/R_curve.png b/runs/detect/train3/R_curve.png new file mode 100644 index 00000000..3d989f04 Binary files /dev/null and b/runs/detect/train3/R_curve.png differ diff --git a/runs/detect/train3/args.yaml b/runs/detect/train3/args.yaml new file mode 100644 index 00000000..fe277436 --- /dev/null +++ b/runs/detect/train3/args.yaml @@ -0,0 +1,105 @@ +task: detect +mode: train +model: best.pt +data: C:\Users\Abner\Desktop\foodsnap\dataset\yolo.yaml +epochs: 20 +time: null +patience: 100 +batch: 16 +imgsz: 640 +save: true +save_period: -1 +cache: false +device: cpu +workers: 8 +project: null +name: train3 +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: runs\detect\train3 diff --git a/runs/detect/train3/confusion_matrix.png b/runs/detect/train3/confusion_matrix.png new file mode 100644 index 00000000..ced8eb34 Binary files /dev/null and b/runs/detect/train3/confusion_matrix.png differ diff --git a/runs/detect/train3/confusion_matrix_normalized.png b/runs/detect/train3/confusion_matrix_normalized.png new file mode 100644 index 00000000..b3025015 Binary files /dev/null and b/runs/detect/train3/confusion_matrix_normalized.png differ diff --git a/runs/detect/train3/labels.jpg b/runs/detect/train3/labels.jpg new file mode 100644 index 00000000..b95f1de5 Binary files /dev/null and b/runs/detect/train3/labels.jpg differ diff --git a/runs/detect/train3/results.csv b/runs/detect/train3/results.csv new file mode 100644 index 00000000..7684d3ad --- /dev/null +++ b/runs/detect/train3/results.csv @@ -0,0 +1,21 @@ 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a/runs/detect/train3/val_batch1_pred.jpg b/runs/detect/train3/val_batch1_pred.jpg new file mode 100644 index 00000000..69547d39 Binary files /dev/null and b/runs/detect/train3/val_batch1_pred.jpg differ diff --git a/runs/detect/train3/val_batch2_labels.jpg b/runs/detect/train3/val_batch2_labels.jpg new file mode 100644 index 00000000..fce5160d Binary files /dev/null and b/runs/detect/train3/val_batch2_labels.jpg differ diff --git a/runs/detect/train3/val_batch2_pred.jpg b/runs/detect/train3/val_batch2_pred.jpg new file mode 100644 index 00000000..e03f93ae Binary files /dev/null and b/runs/detect/train3/val_batch2_pred.jpg differ diff --git a/runs/detect/train3/weights/best.pt b/runs/detect/train3/weights/best.pt new file mode 100644 index 00000000..38b984cd Binary files /dev/null and b/runs/detect/train3/weights/best.pt differ diff --git a/runs/detect/train3/weights/last.pt b/runs/detect/train3/weights/last.pt new file mode 100644 index 00000000..7c8b8e93 Binary files /dev/null and b/runs/detect/train3/weights/last.pt differ diff --git a/test_predict_lookup.py b/test_predict_lookup.py new file mode 100644 index 00000000..6c6e79bd --- /dev/null +++ b/test_predict_lookup.py @@ -0,0 +1,26 @@ +from ultralytics import YOLO +from sqlalchemy import create_engine +from sqlalchemy.orm import sessionmaker +from nutrition_db import FoodItem + +model=YOLO(r'C:\Users\Abner\foodsnap-ai\best.pt') +results=model.predict(r'C:\Users\Abner\foodsnap-ai\5_jpg.rf.02c52ae493e88e0f8019532695f866d0.jpg') + +engine=create_engine('sqlite:///nutrition.db') +Session=sessionmaker(bind=engine) +session=Session() + +for result in results: + for box in result.boxes: + class_id=int(box.cls) + label=model.names[class_id] + print(f"Detected:{label}") + + food=session.query(FoodItem).filter_by(name=label).first() + if food: + print(f"Calories:{food.calories}kcal") + print(f"Protein:{food.protein}g, Fat{food.fat}g, Carbs:{food.carbs}g") + else: + print("No nutrition info. found for this food item.") + +session.close() \ No newline at end of file