Generally,stride of any layer in the network is equal to the factor by which the output of the layer is smaller than the input image to the network. 直译过来就是网络中任何层的步幅等于该层的输出且小于输入图像的大小。这一句先做保留,因为根据我对神经网络的经验有些CNN的stride是2的次方,有些是...
Object detection is a domain that has benefited immensely from the recent developments in deep learning. Recent years have seen people develop many algorithms for object detection, some of which include YOLO, SSD, Mask RCNN and RetinaNet. 目标检测是深度学习近期发展过程中受益最多的领域。随着技术的...
Recent years have seen people develop many algorithms for object detection, some of which include YOLO, SSD, Mask RCNN and RetinaNet. For the past few months, I've been working on improving object detection at a research lab. One of the biggest takeaways from this experience has been ...
I have used a CNN model along with MediaPipe for gesture recognition. It is working great. However, I want to use the gesture_recognizer.task model and not depend on a CNN model. The code I am using is given below. Can someone please help me out with this? Describe the expected behavi...
For example, layers 1-3 can be folded into a communications layer including the transmission of raw bit streams, the electrical cooperation between send and receive points, automatic error detection and recovery, and any packet and routing management requirements. Also, layers 6 and 7 may be ...
Nevertheless, widely used frameworks like TensorFlow have yet to add support for FPGAs to their quantization libraries (e.g., TFLite). In this work, we introduce an open-source methodology for implementing TFLite quantized CNNs on FPGAs. Additionally, we present an adaptable accelerator ...
For object detection, the POC uses the Faster-RCNN model, which performed in the average range in both speed and accuracy. The model ssd_inception_v2_model has metrics close in value to the faster_rcnn_inception_v2_coco model. While ssd_inception_v2 model had a better speed metric, it ...
For object detection, the POC uses the Faster-RCNN model, which performed in the average range in both speed and accuracy. The model ssd_inception_v2_model has metrics close in value to the faster_rcnn_inception_v2_coco model. While ssd_inception_v2 model had a better speed metric, it ...