fromflaskimportFlask,request,jsonifyimporttorch app=Flask(__name__)@app.route('/predict',methods=['POST'])defpredict():image=request.files['image']# 处理图像并进行预测output=model(image)returnjsonify(output.tolist())if__name__=='__main__':app.run(host='0.0.0.0',port=5000) 1. 2. ...
output = F.sigmoid(output) predict=torch.where(output>0.5,torch.ones_like(output),torch.zeros_like(output)) 第二种输出是多通道,即网络的输出output为 [batch_size, num_class, height, width] 形状。其中batch_szie为批量大小,num_class表示输出的通道数与分类数量一致,height和width与输入图像的高和宽...
predict_y = torch.max(outputs, dim=1)[1] # 以output中值最大位置对应的索引(标签)作为预测输出 accuracy = (predict_y == test_label).sum().item() / test_label.size(0) print('[%d, %5d] train_loss: %.3f test_accuracy: %.3f' % # 打印epoch,step,loss,accuracy (epoch + 1, step ...
model.forward(x)- sequentially passxthrough model`s encoder and decoder (return logits!) model.predict(x)- inference method, switch model to.eval()mode, call.forward(x)and apply activation function withtorch.no_grad() Installation PyPI version: $ pip install segmentation-models-pytorch Latest v...
self.task = 'predict' self.load_ckpt = True self.load_ckpt_path = '/path/to/your/predict/checkpoint' Then run the following command (currently DDP is not supported) CUDA_VISIBLE_DEVICES=0 python main.py Export Please note that currently only ONNX format is supported. ...
python predict.py --help Evaluating For Cityscapes cd tools python trainID2labelID.py Contact If you think this work useful, please give me a star! And if you find any errors or have any suggestions, please contact me. GitHub:xiaoyufenfeiEmail:wangy314159@163.com ...
pr_mask = best_model.predict(x_tensor) pr_mask = (pr_mask.squeeze().cpu().numpy()) pr_mask = (np.argmax(pr_mask, axis=0) * 255 / (pr_mask.shape[0])).astype(np.uint8) # 恢复图片原来的分辨率 gt_mask = cv2.resize(gt_mask, (480, 360)) ...
core Switch model to eval mode in predict function Mar 13, 2024 datasets add PP-LiteSeg Jul 31, 2023 models add FANet Apr 16, 2024 tools add STDC Jan 22, 2024 utils add auxiliary heads Jun 12, 2023 LICENSE Create LICENSE Mar 11, 2024 README.md add FANet Apr 16, 2024 ...
self.task = 'predict' self.load_ckpt = True self.load_ckpt_path = '/path/to/your/predict/checkpoint' Then run the following command (currently DDP is not supported) CUDA_VISIBLE_DEVICES=0 python main.py Export Please note that currently only ONNX format is supported. ...