WebApr 5, 2024 · CrossEntropyLoss (). cuda () It used to suppress the presence of a large number of negative prediction. It works on image level not batch level. the given ratio for an image. loss (N, num_anchors): the loss for each example. labels (N, num_anchors): the labels. neg_pos_ratio: the ratio between the negative examples and positive examples. WebJun 4, 2024 · For each anchor box, calculate which object’s bounding box has the highest overlap divided by non-overlap. This is called Intersection Over Union or IOU. If the …
pytorch.ctpn/loss.py at master · BADBADBADBOY/pytorch.ctpn
http://proceedings.mlr.press/v101/huang19c/huang19c.pdf Webfrom detect.ctpn_model import CTPN_Model: from detect.ctpn_utils import gen_anchor, bbox_transfor_inv, clip_box, filter_bbox,nms, TextProposalConnectorOriented: from detect.ctpn_utils import resize: from detect import config: prob_thresh = 0.5: height = 720: gpu = True: if not torch.cuda.is_available(): gpu = False: device = torch.device('cuda ... on the go easter basket
深度解析文本检测网络CTPN - 简书
Web$\textbf{s}_i^*=\lbrace 0,1\rbrace$ is the ground truth. j is the index of an anchor in the set of valid anchors for y-coordinates regression, which are defined as follow. A valid anchor is a defined positive anchor ($\textbf{s}_j^*=1$, described below), or has an Intersection-over-Union (IoU) >0.5 overlap with a ground truth text proposal. Web相比较于east算法,ctpn对于水平文字的检测更好,而对于倾斜文本的检测却显得逊色很多。 CTPN是在ECCV 2016提出的一种文字检测算法。 CTPN结合CNN与LSTM深度网络,能有效的检测出复杂场景的横向分布的文字,效果如图1,是目前比较好的文字检测算法。 WebApr 1, 2024 · Hari Devanathan in Towards Data Science The Basics of Object Detection: YOLO, SSD, R-CNN Diego Bonilla 2024 and Beyond: The Latest Trends and Advances in Computer Vision (Part 1) Cameron R. Wolfe in Towards Data Science Using Transformers for Computer Vision Steins Diffusion Model Clearly Explained! Help Status Writers Blog … ions song