naurril
commented
1 year ago 需要在console看一下有没有什么报错
Open Mikasal opened 1 year ago
naurril
commented
1 year ago 需要在console看一下有没有什么报错
Mikasal
commented
1 year ago `2023-01-16 10:19:32.475409: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 Model: "model"
input_1 (InputLayer) [(None, 512, 3)] 0
tf_op_layer_ExpandDims (TensorF (None, 512, 3, 1) 0 input_1[0][0]
conv2d (Conv2D) (None, 512, 1, 64) 256 tf_op_layer_ExpandDims[0][0]
batch_normalization (BatchNorma (None, 512, 1, 64) 256 conv2d[0][0]
tf_op_layer_Relu (TensorFlowOpL (None, 512, 1, 64) 0 batch_normalization[0][0]
conv2d_1 (Conv2D) (None, 512, 1, 128) 8320 tf_op_layer_Relu[0][0]
batch_normalization_1 (BatchNor (None, 512, 1, 128) 512 conv2d_1[0][0]
tf_op_layer_Relu_1 (TensorFlowO (None, 512, 1, 128) 0 batch_normalization_1[0][0]
conv2d_2 (Conv2D) (None, 512, 1, 1024) 132096 tf_op_layer_Relu_1[0][0]
batch_normalization_2 (BatchNor (None, 512, 1, 1024) 4096 conv2d_2[0][0]
tf_op_layer_Relu_2 (TensorFlowO (None, 512, 1, 1024) 0 batch_normalization_2[0][0]
max_pooling2d (MaxPooling2D) (None, 1, 1, 1024) 0 tf_op_layer_Relu_2[0][0]
tf_op_layer_Squeeze (TensorFlow (None, 1024) 0 max_pooling2d[0][0]
dense (Dense) (None, 512) 524800 tf_op_layer_Squeeze[0][0]
batch_normalization_3 (BatchNor (None, 512) 2048 dense[0][0]
tf_op_layer_Relu_3 (TensorFlowO (None, 512) 0 batch_normalization_3[0][0]
dense_1 (Dense) (None, 256) 131328 tf_op_layer_Relu_3[0][0]
batch_normalization_4 (BatchNor (None, 256) 1024 dense_1[0][0]
tf_op_layer_Relu_4 (TensorFlowO (None, 256) 0 batch_normalization_4[0][0]
dense_2 (Dense) (None, 9) 2313 tf_op_layer_Relu_4[0][0]
tf_op_layer_Add (TensorFlowOpLa (None, 9) 0 dense_2[0][0]
tf_op_layer_Reshape (TensorFlow (None, 3, 3) 0 tf_op_layer_Add[0][0]
tf_op_layer_MatMul (TensorFlowO (None, 512, 3) 0 input_1[0][0] tf_op_layer_Reshape[0][0]
tf_op_layer_ExpandDims_1 (Tenso (None, 512, 3, 1) 0 tf_op_layer_MatMul[0][0]
conv2d_3 (Conv2D) (None, 512, 1, 64) 256 tf_op_layer_ExpandDims_1[0][0]
batch_normalization_5 (BatchNor (None, 512, 1, 64) 256 conv2d_3[0][0]
tf_op_layer_Relu_5 (TensorFlowO (None, 512, 1, 64) 0 batch_normalization_5[0][0]
conv2d_4 (Conv2D) (None, 512, 1, 64) 4160 tf_op_layer_Relu_5[0][0]
batch_normalization_6 (BatchNor (None, 512, 1, 64) 256 conv2d_4[0][0]
tf_op_layer_Relu_6 (TensorFlowO (None, 512, 1, 64) 0 batch_normalization_6[0][0]
conv2d_5 (Conv2D) (None, 512, 1, 64) 4160 tf_op_layer_Relu_6[0][0]
batch_normalization_7 (BatchNor (None, 512, 1, 64) 256 conv2d_5[0][0]
tf_op_layer_Relu_7 (TensorFlowO (None, 512, 1, 64) 0 batch_normalization_7[0][0]
conv2d_6 (Conv2D) (None, 512, 1, 128) 8320 tf_op_layer_Relu_7[0][0]
batch_normalization_8 (BatchNor (None, 512, 1, 128) 512 conv2d_6[0][0]
tf_op_layer_Relu_8 (TensorFlowO (None, 512, 1, 128) 0 batch_normalization_8[0][0]
conv2d_7 (Conv2D) (None, 512, 1, 1024) 132096 tf_op_layer_Relu_8[0][0]
batch_normalization_9 (BatchNor (None, 512, 1, 1024) 4096 conv2d_7[0][0]
tf_op_layer_Relu_9 (TensorFlowO (None, 512, 1, 1024) 0 batch_normalization_9[0][0]
max_pooling2d_1 (MaxPooling2D) (None, 1, 1, 1024) 0 tf_op_layer_Relu_9[0][0]
tf_op_layer_Squeeze_1 (TensorFl (None, 1024) 0 max_pooling2d_1[0][0]
dense_3 (Dense) (None, 512) 524800 tf_op_layer_Squeeze_1[0][0]
batch_normalization_10 (BatchNo (None, 512) 2048 dense_3[0][0]
tf_op_layer_Relu_10 (TensorFlow (None, 512) 0 batch_normalization_10[0][0]
dense_4 (Dense) (None, 256) 131328 tf_op_layer_Relu_10[0][0]
batch_normalization_11 (BatchNo (None, 256) 1024 dense_4[0][0]
tf_op_layer_Relu_11 (TensorFlow (None, 256) 0 batch_normalization_11[0][0]
dense_5 (Dense) (None, 4096) 1052672 tf_op_layer_Relu_11[0][0]
tf_op_layer_Add_1 (TensorFlowOp (None, 4096) 0 dense_5[0][0]
tf_op_layer_Squeeze_2 (TensorFl (None, 512, 64) 0 tf_op_layer_Relu_6[0][0]
tf_op_layer_Reshape_1 (TensorFl (None, 64, 64) 0 tf_op_layer_Add_1[0][0]
tf_op_layer_MatMul_1 (TensorFlo (None, 512, 64) 0 tf_op_layer_Squeeze_2[0][0] tf_op_layer_Reshape_1[0][0]
tf_op_layer_ExpandDims_2 (Tenso (None, 512, 1, 64) 0 tf_op_layer_MatMul_1[0][0]
conv2d_8 (Conv2D) (None, 512, 1, 64) 4160 tf_op_layer_ExpandDims_2[0][0]
batch_normalization_12 (BatchNo (None, 512, 1, 64) 256 conv2d_8[0][0]
tf_op_layer_Relu_12 (TensorFlow (None, 512, 1, 64) 0 batch_normalization_12[0][0]
conv2d_9 (Conv2D) (None, 512, 1, 128) 8320 tf_op_layer_Relu_12[0][0]
batch_normalization_13 (BatchNo (None, 512, 1, 128) 512 conv2d_9[0][0]
tf_op_layer_Relu_13 (TensorFlow (None, 512, 1, 128) 0 batch_normalization_13[0][0]
conv2d_10 (Conv2D) (None, 512, 1, 1024) 132096 tf_op_layer_Relu_13[0][0]
batch_normalization_14 (BatchNo (None, 512, 1, 1024) 4096 conv2d_10[0][0]
tf_op_layer_Relu_14 (TensorFlow (None, 512, 1, 1024) 0 batch_normalization_14[0][0]
max_pooling2d_2 (MaxPooling2D) (None, 1, 1, 1024) 0 tf_op_layer_Relu_14[0][0]
tf_op_layer_Squeeze_3 (TensorFl (None, 1024) 0 max_pooling2d_2[0][0]
dense_6 (Dense) (None, 512) 524800 tf_op_layer_Squeeze_3[0][0]
batch_normalization_15 (BatchNo (None, 512) 2048 dense_6[0][0]
tf_op_layer_Relu_15 (TensorFlow (None, 512) 0 batch_normalization_15[0][0]
dropout (Dropout) (None, 512) 0 tf_op_layer_Relu_15[0][0]
dense_7 (Dense) (None, 256) 131328 dropout[0][0]
batch_normalization_16 (BatchNo (None, 256) 1024 dense_7[0][0]
tf_op_layer_Relu_16 (TensorFlow (None, 256) 0 batch_normalization_16[0][0]
dropout_1 (Dropout) (None, 256) 0 tf_op_layer_Relu_16[0][0]
Total params: 3,512,769 Trainable params: 3,500,609 Non-trainable params: 12,160
[90 90 90 90 90 90 90 89 90 90] [0, 0, 4.738568919164605] [16/Jan/2023:10:19:35] ENGINE Listening for SIGTERM. [16/Jan/2023:10:19:35] ENGINE Bus STARTING CherryPy Checker: The config entry 'auth.require' is invalid, because the 'auth' config namespace is unknown. section: [/views]
CherryPy Checker: 'D:\RS-Reference\github_code\SUSTechPOINTS-dev-auto-annotate\./temp' (root + dir) is not an existing filesystem path. section: [/temp] root: 'D:\RS-Reference\github_code\SUSTechPOINTS-dev-auto-annotate' dir: './temp'
CherryPy Checker: 'D:\RS-Reference\github_code\SUSTechPOINTS-dev-auto-annotate\./views' (root + dir) is not an existing filesystem path. section: [/views] root: 'D:\RS-Reference\github_code\SUSTechPOINTS-dev-auto-annotate' dir: './views'
CherryPy Checker: 'D:\RS-Reference\github_code\SUSTechPOINTS-dev-auto-annotate\./assets' (root + dir) is not an existing filesystem path. section: [/assets] root: 'D:\RS-Reference\github_code\SUSTechPOINTS-dev-auto-annotate' dir: './assets'
[16/Jan/2023:10:19:35] ENGINE Set handler for console events. [16/Jan/2023:10:19:35] ENGINE Started monitor thread 'Autoreloader'. [16/Jan/2023:10:19:36] ENGINE Serving on http://0.0.0.0:8081 [16/Jan/2023:10:19:36] ENGINE Bus STARTED 127.0.0.1 - - [16/Jan/2023:10:28:04] "GET / HTTP/1.1" 200 51696 "" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36"` 这是console里的输出，对比了一下正常启动的输出，倒数第6行多了一句“[16/Jan/2023:10:19:35] ENGINE Set handler for console events.”，麻烦你帮忙看一下。
naurril
commented
1 year ago 网页的console输出也看一下
Mikasal
commented
1 year ago 网页的console输出也看一下
:8081/static/js/main.js:1
Failed to load module script: Expected a JavaScript module script but the server responded with a MIME type of "text/plain". Strict MIME type checking is enforced for module scripts per HTML spec.另外想问一下根据反射强度着色这个功能现在是完善的吗？发现用反射强度着色点云全是黄色，用其他的软件测试相同的点云文件着色是正常的，如果想调试这部分代码请问需要看哪个文件？
naurril
commented
1 year ago 另外想问一下根据反射强度着色这个功能现在是完善的吗？发现用反射强度着色点云全是黄色，用其他的软件测试相同的点云文件着色是正常的，如果想调试这部分代码请问需要看哪个文件？
主要是不同雷达的反射强度取值范围不一样导致的，有的是[0,1], 有的是［0,255]. 在lidar.js里面修改．
liu-b-s
commented
1 year ago 我也遇到同样问题，求教一下，怎么解决的？
brillint
commented
8 months ago 同问
naurril
commented
8 months ago 是不是也是windows系统，你用fusion分支，用npm编译一下js的代码试一下
你好，作者，很感谢你开源了这个工具。为我的工作带来了很多便利。但是现在我在一台电脑上可以正常使用，但是在另外一台电脑安装好之后能打开网页，但是网页一篇空白，能解答一下吗？