TensorFlow 2 YOLOv4

tensorflow-yolov4

python3 -m pip install yolov4

YOLOv4 Implemented in Tensorflow 2.

Download Weights

• yolov4-tiny.conv.29
• yolov4-tiny.weights
• yolov4-tiny-relu.weigths
• yolov4.conv.137
• yolov4.weights
• yolov4-csp.weights
• yolov4x-mish.weights
• coco.names
• config

Dependencies

python3 -m pip install opencv-python

python3 -m pip install tensorflow

TFlite

Ref: https://www.tensorflow.org/lite/guide/python

Objective

• Train and predict using TensorFlow 2 only
• Run yolov4-tiny-relu on Coral board(TPU).
• Train tiny-relu with coco 2017 dataset
• Update Docs
• Optimize model and operations

Performance

Help

>>> from yolov4.tf import YOLOv4
>>> help(YOLOv4)

Inference

tensorflow

v3

import cv2

from yolov4.tf import YOLOv4

yolo = YOLOv4()

yolo.config.parse_names("coco.names")
yolo.config.parse_cfg("yolov4-tiny.cfg")

yolo.make_model()
yolo.load_weights("yolov4-tiny.weights", weights_type="yolo")
yolo.summary(summary_type="yolo")
yolo.summary()

yolo.inference(media_path="kite.jpg")

yolo.inference(media_path="road.mp4", is_image=False)

yolo.inference(
    "/dev/video0",
    is_image=False,
    cv_apiPreference=cv2.CAP_V4L2,
    cv_frame_size=(640, 480),
    cv_fourcc="YUYV",
)

v2

from yolov4.tf import YOLOv4

yolo = YOLOv4()
# yolo = YOLOv4(tiny=True)

yolo.classes = "coco.names"
yolo.input_size = (640, 480)

yolo.make_model()
yolo.load_weights("yolov4.weights", weights_type="yolo")
# yolo.load_weights("yolov4-tiny.weights", weights_type="yolo")

yolo.inference(media_path="kite.jpg")

yolo.inference(media_path="road.mp4", is_image=False)

tensorflow lite

v3

from yolov4.tf import YOLOv4, save_as_tflite

yolo = YOLOv4()

yolo.config.parse_names("coco.names")
yolo.config.parse_cfg("yolov4-tiny.cfg")

yolo.make_model()
yolo.load_weights("yolov4-tiny.weights", weights_type="yolo")

save_as_tflite(
    model=yolo.model,
    tflite_path="yolov4-tiny-float16.tflite",
    quantization="float16",
)

from yolov4.tflite import YOLOv4

yolo = YOLOv4()

yolo.config.parse_names("coco.names")
yolo.config.parse_cfg("yolov4-tiny.cfg")

yolo.load_tflite("yolov4-tiny-float16.tflite")

yolo.inference("kite.jpg")

v2

from yolov4.tf import YOLOv4

yolo = YOLOv4()

yolo.classes = "coco.names"
yolo.input_size = (640, 480)

yolo.make_model()
yolo.load_weights("yolov4.weights", weights_type="yolo")

yolo.save_as_tflite("yolov4_640x480.tflite")

from yolov4.tflite import YOLOv4

yolo = YOLOv4()

yolo.classes = "coco.names"

yolo.load_tflite("yolov4_640x480.tflite")

yolo.inference("kite.jpg")