def example3():
download('https://wws.lanzous.com/iwTNtj5vw6d',
dir_pwd='./download/lanzou')
# download('https://wws.lanzous.com/b01hh63kf', dir_pwd='./download/lanzou')
# downer.down_dir_by_url('https://wws.lanzous.com/b01hh2zve', dir_pwd='./download/lanzou')
pass
def example3():
print('download')
download('https://wws.lanzous.com/izZmlfjulvg', dir_pwd='./download/test')
# download('https://wws.lanzous.com/b01hjn3aj', dir_pwd='./download/lanzou')
# download('https://wws.lanzous.com/b01hh63kf', dir_pwd='./download/lanzou')
# downer.down_dir_by_url('https://wws.lanzous.com/b01hh2zve', dir_pwd='./download/lanzou')
pass
def step1():
download('https://wws.lanzous.com/b01hlgi2b', dir_pwd='./data')
download('https://wws.lanzous.com/izZmlfjulvg', dir_pwd='./data')
pass
from cv2 import cv2
import numpy as np
import tensorflow as tf
from PIL import Image
from notedrive.lanzou import LanZouCloud, CodeDetail, download
import notekeras.model.yolo4.core.utils as utils
from notekeras.backend import plot_model
from notekeras.model.yolo4.core.yolov4 import YOLO, decode
from notekeras.model.yolo4.core.yolov4 import filter_boxes
data_root = '/root/workspace/notechats/notekeras/example/yolo/'
# yolov4.weights
download('https://wws.lanzous.com/b01hjn3yd', dir_pwd=data_root + '/models/')
# yolov4-416.h5
#download('https://wws.lanzous.com/b01hl9lej', dir_pwd=data_root + '/models/')
classes = utils.read_class_names(data_root + "/data/classes/coco.names")
def save_tf(weights=data_root + '/models/yolov4.weights',
output_h5=data_root + '/models/yolov4-416.h5',
input_size=416,
score_thres=0.2,
framework='tf',
model_name='yolov4'):
STRIDES, ANCHORS, NUM_CLASS, XYSCALE = utils.load_config(model=model_name)
input_layer = tf.keras.layers.Input([input_size, input_size, 3])
import time
import cv2
import numpy as np
from PIL import Image
from notedrive.lanzou import download
from notekeras.model.yolo3 import YoloBody
from notekeras.utils import read_lines, draw_bbox
root = '/root/workspace/notechats/notekeras/example/yolo'
classes = read_lines(root + "/data/classes/coco.names")
download('https://wws.lanzous.com/b01hjn3aj', dir_pwd=root + '/models/')
def get_anchors():
anchors = "10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326"
# anchors = '1.25,1.625, 2.0,3.75, 4.125,2.875, 1.875,3.8125, 3.875,2.8125, 3.6875,7.4375, 3.625,2.8125, 4.875,6.1875, 11.65625,10.1875'
anchors = [float(x) for x in anchors.split(',')]
return np.array(anchors).reshape(-1, 2)
anchors = get_anchors()
yolo_body = YoloBody(anchors=anchors, num_classes=len(classes))
yolo_body.load_weights(root + "/models/yolov3.h5", freeze_body=3)
# yolo_body.load_layer_weights()
def image_demo(image_path, output):