### Define Input Path Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Sets the input path for the utterance data files. ```Python input_path = "input" ``` -------------------------------- ### Construct Prompt File Path Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Generates the full path to the prompt text file. ```Python prompt = os.path.join(input_path, file + ".txt") ``` -------------------------------- ### Construct Audio File Path Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Generates the full path to the audio (.wav) file. ```Python wave = os.path.join(input_path, file + ".wav") ``` -------------------------------- ### Construct Parameter File Path Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Generates the full path to the parameter (.param) file. ```Python parameter = os.path.join(input_path, file + ".param") ``` -------------------------------- ### Create Output Directory Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Defines the output path for the generated video and creates the directory if it does not exist. ```Python output_path = "output" if not os.path.exists(output_path): os.makedirs(output_path) ``` -------------------------------- ### Import and Set Input Path Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/ultrasound_process.ipynb Imports the os module and sets the input path for data files. ```Python import os ``` ```Python input_path = "input" ``` ```Python file = "sample" ``` ```Python param_filename = os.path.join(input_path, file + ".param") ``` ```Python ult_filename = os.path.join(input_path, file + ".ult") ``` -------------------------------- ### Import os Module Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Imports the operating system module, which provides a way of using operating system dependent functionality, such as reading or writing to the file system. ```Python import os ``` -------------------------------- ### Define Input Filename Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Specifies the base filename for the utterance data files. ```Python file = "sample" ``` -------------------------------- ### Construct Ultrasound File Path Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Generates the full path to the ultrasound (.ult) file. ```Python ultrasound = os.path.join(input_path, file + ".ult") ``` -------------------------------- ### Animate Utterance to Video Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Creates a video from the provided utterance files (prompt, audio, ultrasound, parameter) with a specified frame rate. The output video is saved as an AVI file. ```Python animate_utterance(prompt, wave, ultrasound, parameter, "output/sample_video.avi", frame_rate=60) ``` -------------------------------- ### Import Animation Function Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/utternace_animate.ipynb Imports the `animate_utterance` function from the `ustools.animate_utterance` module, which is used for creating videos from utterance data. ```Python from ustools.animate_utterance import animate_utterance ``` -------------------------------- ### Parse Parameter File Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/ultrasound_process.ipynb Parses the .param file using the parse_parameter_file function from ustools.read_core_files and displays the resulting DataFrame. ```Python from ustools.read_core_files import parse_parameter_file ``` ```Python param_df = parse_parameter_file(param_filename) ``` ```Python param_df ``` ```Python param_df.loc["value"] ``` -------------------------------- ### Transform Ultrasound to World Proportions Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/ultrasound_process.ipynb Transforms a 2D ultrasound frame from raw pixel values to world proportions using the transform_ultrasound function and visualizes the result. ```Python from ustools.transform_ultrasound import transform_ultrasound ``` ```Python world_ult_100th_frame = transform_ultrasound(ult_100th_frame) ``` ```Python display_2d_ultrasound_frame(world_ult_100th_frame[0], dpi=None, figsize=(10,10)) ``` -------------------------------- ### Read Ultrasound File Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/ultrasound_process.ipynb Reads the .ult ultrasound file using the read_ultrasound_file function from ustools.read_core_files and prints its shape. ```Python from ustools.read_core_files import read_ultrasound_file ``` ```Python ult = read_ultrasound_file(ult_filename) ``` ```Python ult.shape ``` -------------------------------- ### Visualize Ultrasound Frame Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/ultrasound_process.ipynb Visualizes a single 2D ultrasound frame using the display_2d_ultrasound_frame function from ustools.visualise_ultrasound. ```Python from ustools.visualise_ultrasound import display_2d_ultrasound_frame ``` ```Python display_2d_ultrasound_frame(ult_100th_frame, dpi=None, figsize=(10,10)) ``` -------------------------------- ### Reshape Ultrasound Data Source: https://github.com/ultrasuite/ultrasuite-tools/blob/master/ultrasound_process.ipynb Reshapes the 1D ultrasound array into a 3D array (frames, vectors, pixels) using dimensions from the parameter file and prints the new shape. It also extracts and prints the 100th frame. ```Python param_df['NumVectors'].value ``` ```Python param_df['PixPerVector'].value ``` ```Python ult_3d = ult.reshape(-1, int(param_df['NumVectors'].value), int(param_df['PixPerVector'].value)) ``` ```Python ult_3d.shape ``` ```Python print("The ultrasound file consists of %d frames" % ult_3d.shape[0]) ``` ```Python ult_100th_frame = ult_3d[100] # get the 100th frame ``` ```Python ult_100th_frame.shape ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.