(x) route, tip = detection(C0) P0 = conv2d_pred(tip) # anchors包含了预先设定好的锚框尺寸 anchors = [116, 90, 156, 198, 373, 326] # downsample是特征图P0的步幅 pred_boxes = get_yolo_box_xxyy(P0.numpy(), anchors, num_classes=7, downsample=32) iou_above_thresh_indices = get_...
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(ch_in=1024, ch_out=512, is_test=False) conv2d_pred = Conv2D(num_channels=1024, num_filters=num_filters, filter_size=1) x = np.random.randn(1, 3, 640, 640).astype('float32') x = to_variable(x) C0, C1, C2 = backbone(x) route, tip = detection(C0) P0 = conv2d_pred(...
API 路由使用了 api middlewareGroups 修改app/Providers/RouteServiceProvider.php 文件中 mapApiRoutes() {} 方法 app/Providers/RouteServiceProvider.php protected function mapApiRoutes() { Route::prefix('api')//路由带/api前缀 ->middleware('api')//中间件 ->namespace($this->namespace) ->group(bas...
# 导入 from flask import Flask # 创建一个该类的实例app 参数为 __name__ 这个参数是必需的 # 只有传入这个参数,Flask才能知道哪里找到模板和静态文件 app = Flask(__name__) # 使用route()装饰器来告诉flask触发函数的url @app.route("/") def hello_world(): return "hello world" if __name__...
Alternatively, if you prefer a more adventurous and scenic route, you can take a local bus from Chiang Mai to Mae Ai. Buses depart regularly from the Arcade Bus Station in Chiang Mai and will take you to Mae Ai town. From there, you can hire a taxi or a tuk-tuk to reach Yoga Art...
In this blog we’ll explore the fastest avenues for you to skill up on Azure’s AI capabilities, including learning paths on the fundamentals of generative AI,...
Data has become the vehicle that takes us from problem to solution, and the data lake, processing, and data science team have worked with us to build a “map” that can turn this into a reality. The ability to tap into data, trends, and insights is truly powerful and promises to be ...
Raccoon students studying for the AI-900 exam What to Expect on the Exam The Exam AI-900 measures the learner’s knowledge of AI and ML concepts, as well as related Microsoft Azure services. The exam consists of 40-60 questions and lasts for 180 minutes. You may encounter multiple...
(x) route, tip = detection(C0) P0 = conv2d_pred(tip) # anchors包含了预先设定好的锚框尺寸 anchors = [116, 90, 156, 198, 373, 326] # downsample是特征图P0的步幅 pred_boxes = get_yolo_box_xxyy(P0.numpy(), anchors, num_classes=7, downsample=32) iou_above_thresh_indices = get_...