From f181dba964b1102e5a0a8f998b942b46a70f9b74 Mon Sep 17 00:00:00 2001 From: Alex Date: Sun, 20 Feb 2022 21:17:36 -0600 Subject: [PATCH] Refactor Python Modules (#29) --- machine_learning/.gitignore | 5 +- machine_learning/Pipfile | 17 - machine_learning/Pipfile.lock | 629 ------------------ machine_learning/app/__init__.py | 0 machine_learning/app/cars.jpg | Bin 0 -> 197210 bytes .../app/image_classifier/__init__.py | 0 .../app/image_classifier/image_classifier.py | 32 + machine_learning/app/main.py | 57 +- .../app/object_detection/__init__.py | 0 .../app/object_detection/object_detection.py | 4 + machine_learning/requirements.txt | 3 +- 11 files changed, 67 insertions(+), 680 deletions(-) delete mode 100644 machine_learning/Pipfile delete mode 100644 machine_learning/Pipfile.lock create mode 100644 machine_learning/app/__init__.py create mode 100644 machine_learning/app/cars.jpg create mode 100644 machine_learning/app/image_classifier/__init__.py create mode 100644 machine_learning/app/image_classifier/image_classifier.py create mode 100644 machine_learning/app/object_detection/__init__.py create mode 100644 machine_learning/app/object_detection/object_detection.py diff --git a/machine_learning/.gitignore b/machine_learning/.gitignore index ac9358e79e..530bf8383a 100644 --- a/machine_learning/.gitignore +++ b/machine_learning/.gitignore @@ -1,2 +1,3 @@ -app/__pycache__ -/devenv \ No newline at end of file +__pycache__/ +devenv/ +app/upload \ No newline at end of file diff --git a/machine_learning/Pipfile b/machine_learning/Pipfile deleted file mode 100644 index 1d3bdf9867..0000000000 --- a/machine_learning/Pipfile +++ /dev/null @@ -1,17 +0,0 @@ -[[source]] -url = "https://pypi.python.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -fastapi = "<0.69.0,>=0.68.0" -pydantic = "<2.0.0,>=1.8.0" -uvicorn = "<0.16.0,>=0.15.0" -tensorflow = "~=2.8.0" -numpy = "==1.22.2" -pillow = "==9.0.1" - -[dev-packages] - -[requires] -python_version = 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100644 index 0000000000..e69de29bb2 diff --git a/machine_learning/app/image_classifier/image_classifier.py b/machine_learning/app/image_classifier/image_classifier.py new file mode 100644 index 0000000000..c3c130124b --- /dev/null +++ b/machine_learning/app/image_classifier/image_classifier.py @@ -0,0 +1,32 @@ +from tensorflow.keras.applications import InceptionV3 +from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions +from tensorflow.keras.preprocessing import image +import numpy as np + +IMG_SIZE = 299 +PREDICTION_MODEL = InceptionV3(weights='imagenet') + + +def classify_image(image_path: str): + img_path = f'./app/{image_path}' + img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE)) + x = image.img_to_array(img) + x = np.expand_dims(x, axis=0) + x = preprocess_input(x) + + preds = PREDICTION_MODEL.predict(x) + result = decode_predictions(preds, top=3)[0] + payload = [] + for _, value, _ in result: + payload.append(value) + + return payload + + +def warm_up(): + img_path = f'./app/test.png' + img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE)) + x = image.img_to_array(img) + x = np.expand_dims(x, axis=0) + x = preprocess_input(x) + PREDICTION_MODEL.predict(x) diff --git a/machine_learning/app/main.py b/machine_learning/app/main.py index 75576f75ab..966dc8c53d 100644 --- a/machine_learning/app/main.py +++ b/machine_learning/app/main.py @@ -1,27 +1,17 @@ -from typing import Optional from pydantic import BaseModel -import numpy as np from fastapi import FastAPI -import tensorflow as tf -from tensorflow.keras.applications import InceptionV3 -from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions -from tensorflow.keras.preprocessing import image -IMG_SIZE = 299 -PREDICTION_MODEL = InceptionV3(weights='imagenet') +from .object_detection import object_detection +from .image_classifier import image_classifier + +from tf2_yolov4.anchors import YOLOV4_ANCHORS +from tf2_yolov4.model import YOLOv4 -def warm_up(): - img_path = f'./app/test.png' - img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE)) - x = image.img_to_array(img) - x = np.expand_dims(x, axis=0) - x = preprocess_input(x) - PREDICTION_MODEL.predict(x) - +HEIGHT, WIDTH = (640, 960) # Warm up model -warm_up() +image_classifier.warm_up() app = FastAPI() @@ -31,21 +21,26 @@ class TagImagePayload(BaseModel): @app.post("/tagImage") async def post_root(payload: TagImagePayload): - imagePath = payload.thumbnail_path + image_path = payload.thumbnail_path - if imagePath[0] == '.': - imagePath = imagePath[2:] + if image_path[0] == '.': + image_path = image_path[2:] - img_path = f'./app/{imagePath}' - img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE)) - x = image.img_to_array(img) - x = np.expand_dims(x, axis=0) - x = preprocess_input(x) + return image_classifier.classify_image(image_path=image_path) - preds = PREDICTION_MODEL.predict(x) - result = decode_predictions(preds, top=3)[0] - payload = [] - for _, value, _ in result: - payload.append(value) - return payload +@app.get("/") +async def test(): + + object_detection.run_detection() + # image = tf.io.read_file("./app/cars.jpg") + # image = tf.image.decode_image(image) + # image = tf.image.resize(image, (HEIGHT, WIDTH)) + # images = tf.expand_dims(image, axis=0) / 255.0 + + # model = YOLOv4( + # (HEIGHT, WIDTH, 3), + # 80, + # YOLOV4_ANCHORS, + # "darknet", + # ) diff --git a/machine_learning/app/object_detection/__init__.py b/machine_learning/app/object_detection/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/machine_learning/app/object_detection/object_detection.py b/machine_learning/app/object_detection/object_detection.py new file mode 100644 index 0000000000..2f44f7b748 --- /dev/null +++ b/machine_learning/app/object_detection/object_detection.py @@ -0,0 +1,4 @@ + + +def run_detection(): + print("run detection") diff --git a/machine_learning/requirements.txt b/machine_learning/requirements.txt index d362ed6bf8..dc6cea1468 100644 --- a/machine_learning/requirements.txt +++ b/machine_learning/requirements.txt @@ -3,4 +3,5 @@ pydantic>=1.8.0,<2.0.0 uvicorn>=0.15.0,<0.16.0 tensorflow==2.8.0 numpy==1.22.2 -pillow==9.0.1 \ No newline at end of file +pillow==9.0.1 +tf2_yolov4==0.1.0 \ No newline at end of file