西门子harp7.cs

时间: 2024-01-01 11:02:17 浏览: 32
西门子harp7.cs是一款先进的机器人系统，它拥有自主定位与导航、感知与处理、规划与控制等多种功能。 首先，harp7.cs具备自主定位与导航功能。它可以通过激光雷达、摄像头以及其他传感器获取环境信息，并实时构建地图。基于这些数据，它能够准确地定位自身位置，并规划最佳路径进行移动。 其次，harp7.cs还具备强大的感知与处理能力。它可以识别并解析各种对象，包括人、物品、障碍等。在处理过程中，它能够进行图像处理、目标跟踪等复杂计算，从而更好地理解周围环境。 此外，harp7.cs还能进行规划与控制。根据任务需求和环境状况，它能够制定最佳的行动计划，并自动执行。无论是在工业生产线上还是在其他应用场景中，harp7.cs都能够高效地完成各种任务。 最后，harp7.cs还具备高度灵活性和可扩展性。它的模块化设计使得用户可以根据需求进行定制和扩展，以满足不同场景的需求。 总结起来，西门子harp7.cs是一款功能强大的机器人系统，拥有自主定位与导航、感知与处理、规划与控制等多种功能。它的出色表现使其在工业生产和其他领域中得到广泛应用。
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import os import csv def detLabel(filename): #determine the label of the recording if "cello" in filename: label = 0 elif "church" in filename: label = 1 elif "clarinet" in filename: label = 2 elif "flute" in filename: label = 3 elif "guitar" in filename: label = 4 elif "harp" in filename: label = 5 elif "marimba" in filename: label = 6 elif "perldrop" in filename: label = 7 elif "piano" in filename: label = 8 elif "synlead3" in filename: label = 9 else: #violin label = 10 return label fileOrigin = "samples" dataFile = "data.csv" with open(dataFile, 'w', newline='') as csvfile: fileWriter = csv.writer(csvfile, delimiter=',') fileWriter.writerow(['filename', 'instrument']) for filename in os.listdir(fileOrigin): fileWriter.writerow([filename, detLabel(filename)])

这段代码的作用是将文件夹samples中的音频文件按照乐器种类的不同标记，并将它们的名称和标记存储在名为data.csv的CSV文件中。 首先，定义了一个名为detLabel的函数，用于根据文件名确定音频文件所属的乐器种类，并返回一个标记（从0到10）。其中，0~9分别代表cello、church、clarinet、flute、guitar、harp、marimba、perldrop、piano和synlead3，10代表violin。 然后，代码定义了两个变量fileOrigin和dataFile，分别表示存放音频文件的文件夹路径和CSV文件的路径。 接下来，使用Python内置的os模块中的listdir()函数遍历fileOrigin文件夹中的所有文件名，并将它们传递给detLabel函数，获取对应的标记。最后，将文件名和标记写入data.csv文件中，以逗号分隔。其中，第一行为文件头，包括两列：filename和instrument。

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def plotConfMatrix(y_test, y_predict, modelType): #Confusion matrix conf = np.zeros((11,11), dtype=int) titles = ["Cello", "Church Organ", "Clarinet", "Flute", "Guitar", "Harp", "Marimba", "Perldrop", "Piano", "Synlead3", "Violin"] for hit in range(len(y_test)): conf[y_test[hit]][y_predict[hit]] += 1 # Plot confusion matrix fig, ax = plt.subplots(figsize=(8,8)) sn.set(font_scale=1.5) sn.heatmap(conf, annot=True, fmt='d', ax=ax, cmap="YlGnBu", xticklabels=titles, yticklabels=titles) ax.set_ylim(len(conf),0) plt.xlabel('Predicted') plt.ylabel('True') plt.title('Confusion Matrix with sklearn for ' + modelType) plt.show()

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The following is the data that you can add to your input file (as an example). Notice that the first line is going to be a line representing your own hobbies. In my case, it is the Vitaly,table tennis,chess,hacking line. Your goal is to create a class called Student. Every Student will contain a name (String) and an ArrayList<String> storing hobbies. Then, you will add all those students from the file into an ArrayList<Student>, with each Student having a separate name and ArrayList of hobbies. Here is an example file containing students (the first line will always represent yourself). NOTE: eventually, we will have a different file containing all our real names and hobbies so that we could find out with how many people each of us share the same hobby. Vitaly,table tennis,chess,hacking Sean,cooking,guitar,rainbow six Nolan,gym,piano,reading,video games Jack,cooking,swimming,music Ray,piano,video games,volleyball Emily,crochet,drawing,gardening,tuba,violin Hudson,anime,video games,trumpet Matt,piano,Reading,video games,traveling Alex,swimming,video games,saxophone Roman,piano,dancing,art Teddy,chess,lifting,swimming Sarah,baking,reading,singing,theatre Maya,violin,knitting,reading,billiards Amy,art,gaming,guitar,table tennis Daniel,video games,tennis,soccer,biking,trumpet Derek,cooking,flute,gaming,swimming,table tennis Daisey,video games,guitar,cleaning,drawing,animated shows,reading,shopping Lily,flute,ocarina,video games,baking Stella,roller skating,sudoku,watching baseball,harp Sophie,viola,ukulele,piano,video games

Based on the given information, I would suggest creating a class called Student with two instance variables: a String for the student's name and an ArrayList<String> for their hobbies....

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Thank you for sharing the example data! As an AI language model, I do not have hobbies, so I cannot answer the third question. However, I can help you with the first two questions. ...

create a class called Student. Every Student will contain a name (String) and an ArrayList<String> storing hobbies. Then, you will add all those students from the file into an ArrayList<Student>, with each Student having a separate name and ArrayList of hobbies. Here is an example file containing students (the first line will always represent yourself). NOTE: eventually, we will have a different file containing all our real names and hobbies so that we could find out with how many people each of us share the same hobby. Vitaly,table tennis,chess,hacking Sean,cooking,guitar,rainbow six Nolan,gym,piano,reading,video games Jack,cooking,swimming,music Ray,piano,video games,volleyball Emily,crochet,drawing,gardening,tuba,violin Hudson,anime,video games,trumpet Matt,piano,Reading,video games,traveling Alex,swimming,video games,saxophone Roman,piano,dancing,art Teddy,chess,lifting,swimming Sarah,baking,reading,singing,theatre Maya,violin,knitting,reading,billiards Amy,art,gaming,guitar,table tennis Daniel,video games,tennis,soccer,biking,trumpet Derek,cooking,flute,gaming,swimming,table tennis Daisey,video games,guitar,cleaning,drawing,animated shows,reading,shopping Lily,flute,ocarina,video games,baking Stella,roller skating,sudoku,watching baseball,harp Sophie,viola,ukulele,piano,video games Step 2. Sort the student list in the ascending order of student names and print them all on the screen

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