Qualcomm CameraPower Debug Guide: 80-NP961-1 Rev.F - April 16, 2019 (Confidential)

camera_power

需积分: 9 62 浏览量更新于2024-07-11 收藏 1.38MB PDF 举报

身份认证购VIP最低享 7 折!

领优惠券(最高得80元）

资源详情

资源推荐

1 Introducon

1.1 Purpose

This document provides details on how to debug issues related to camera power consumption.

1.2 Convenons

Function declarations, function names, type declarations, attributes, and code samples appear in a

dif

ferent font, for example, #include.

Code variables appear in angle brackets, for example, <number>.

Commands to be entered appear in a different font, for example, copy a:*.* b:.

Button and key names appear in bold font, for example, click Save or press Enter.

1.3 Technical assistance

For assistance or clarification on information in this document, submit a case to Qualcomm

echnologies, Inc. (QTI) at https://createpoint.qti.qualcomm.com/ with the following information:

■

Chipset – AMSS build ID and operating system

■

Initial problem type – Software

■

For multimedia use cases, select the following problem areas:

□

Problem Area 1 – Multimedia

□

Problem Area 2 – Power

□

Problem Area 3 – Camera

■

Problem description

□

Describe the use case if different from the QTI standard use case

□

List steps to reproduce the issue

□

Describe the debugging done so far

□

Include the following debugging logs:

– Waveforms, rail-level breakdown, kmsg, Top, Perf Top, clock dump, SurfaceFlinger, ftrace,

systrace, logcat, etc.

If you do not have access to the CDMATech Support website, register for access or send email to

support.cdmatech@qti.qualcomm.com.

80-NP961-1 Rev. F Confidential and Proprietary - Qualcomm Technologies, Inc.

MAY CONTAIN U.S. AND INTERNATIONAL EXPORT CONTROLLED INFORMATION

剩余22页未读，继续阅读

高通camera senseor驱动参数介绍

找到msm_sensor.c文件--------msm_sensor_power_down函数，然后将return msm_camera_power_down(power_info, sensor_device_type, sensor_i2c_client); 改成return 0；然后找到对应的sensor_lib.h驱动文件：将下电...

Lytro_Power_Tools_Beta_1.0.1_User_Manual .pdf

Lytro Power Tools包含了多个组件，如Camera Tool、LFP Tool、Recipe Tool和Web Tool，每个组件都有其特定的用途和命令集。 **Camera Tool** Camera Tool允许用户控制相机的各种特性，如曝光、白平衡、饱和度等。...

void CheckpointDetector::CameraInfoCallback(const sensor_msgs::CameraInfoConstPtr& camera_info) { sensor_msgs::CameraInfo my_camera_info_ // my_camera_info_ = camera_info; my_camera_info_.header = camera_info->header; my_camera_info_.distortion_model = camera_info->distortion_model; my_camera_info_.binning_x = camera_info->binning_x; my_camera_info_.binning_y = camera_info->binning_y; my_camera_info_.width = camera_info->width; my_camera_info_.height = camera_info->height; my_camera_info_.D = camera_info->D; my_camera_info_.K = camera_info->K; my_camera_info_.P = camera_info->P; my_camera_info_.R= camera_info->R; } 帮我把以上代码移植到ros2

在ROS2中，需要对代码进行一些修改和调整来适应新的API和数据类型。...这样，当订阅到`camera_info`主题时，`cameraInfoCallback`函数将被调用，并将`camera_info`消息的内容赋值给`my_camera_info`变量。

你之前说的camera_node.py和image_recognition_node.py是什么

非常抱歉，我之前的回答中提到的 `camera_node.py` 和 `image_recognition_node.py` 是我误解了您的问题所做的猜测，这是我犯了个错误。这些文件可能是您自己的项目中的特定文件，与之前讨论的图像处理和二维码识别...

def init_slots(self): self.pushButton_img.clicked.connect(self.load_source) self.pushButton_model.clicked.connect(self.select_model) self.pushButton_detect.clicked.connect(self.target_detect) self.pushButton_showdir.clicked.connect(self.show_dir) self.pushButton_camera_detect.clicked.connect(self.camera_detect)

- `self.pushButton_camera_detect.clicked.connect(self.camera_detect)`将"pushButton_camera_detect"按钮的`clicked`信号连接到`camera_detect`槽函数。通过这些连接，当用户点击相应的按钮时，对应的槽函数将...

import rclpy from rclpy.node import Node from sensor_msgs.msg import Image import cv2 class CameraPublisher(Node): def init(self): super().init('camera_publisher') self.publisher_ = self.create_publisher(Image, 'camera_image', 10) timer_period = 0.1 # 发送频率，单位为秒 self.timer = self.create_timer(timer_period, self.timer_callback) def timer_callback(self): # 读取摄像头画面 cap = cv2.VideoCapture(0) ret, frame = cap.read() cap.release() # 将OpenCV的图像转换为ROS的图像消息 img_msg = Image() img_msg.header.stamp = self.get_clock().now().to_msg() img_msg.encoding = 'bgr8' img_msg.height = frame.shape[0] img_msg.width = frame.shape[1] img_msg.step = frame.shape[1] * 3 img_msg.data = frame.tobytes() # 发布图像消息到话题中 self.publisher_.publish(img_msg) def main(args=None): rclpy.init(args=args) camera_publisher = CameraPublisher() rclpy.spin(camera_publisher) camera_publisher.destroy_node() rclpy.shutdown() if name == 'main': main() setup.py如何配置

因此，你需要创建一个名为"camera_publisher"的软件包，并在该软件包中创建一个名为"camera_publisher_node.py"的文件。接下来，你需要在软件包的根目录下创建一个名为"setup.py"的文件，并输入以下代码： ```...

图像的锐化可以增强图像的边缘，可有助于后续图像特征的提取。根据反锐化掩蔽的机理，编写算法，实现图像的锐化。作业要求：（1）使用camera图片处理，（也可以自己提供图片）（2）使用5* 5的模板对上图进行均值滤波，并把处理后的图像以camera_s.jpg保存在当前路径下（3）根据反锐化掩蔽的机理，把差值图像以camera_d.jpg保存在当前路径下（4）当权重系数C取不同值时，查看反锐化掩蔽的效果。把c=1、c=0.5、c=3处理后的图片以 camera_g_1.jpg、camera_g_0.5.jpg、camera_g_3.jpg命名保存在当前路径下

4. 根据反锐化掩蔽的机理，计算反锐化系数 C，并将差值图像乘以反锐化系数 C，再与原图相加得到锐化后的图像，并分别保存为 camera_g_1.jpg、camera_g_0.5.jpg、camera_g_3.jpg。希望这个解答能够帮到您，如果您...

roslaunch uvc_camera camera_node.launch

Once the package is installed, navigate to your ROS workspace and run the `roslaunch` command to start streaming images from your camera. The image topic should be published, and you can use tools ...

为什么无法打开，是否需要在get_faces_from_camera_tkinter.py中添加一些东西

是的，你需要在get_faces_from_camera_tkinter.py文件中添加一些代码，以便在被调用时不会立即退出。可以在代码末尾添加下面这行代码： ```python # 进入消息循环 root.mainloop() ``` 这行代码会使get_faces_from...

/root/catkin_uc/src/usb_cam/src/camera_driver.cpp: In destructor ‘virtual usb_cam::AbstractV4LUSBCam::~AbstractV4LUSBCam()’: /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:235:5: error: ‘av_packet_free’ was not declared in this scope av_packet_free(&avpkt); ^~~~~~~~ /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:235:5: note: suggested alternative: ‘av_packet_ref’ av_packet_free(&avpkt); ^~ av_packet_ref /root/catkin_uc/src/usb_cam/src/camera_driver.cpp: In static member function ‘static bool usb_cam::AbstractV4LUSBCam::init_decoder()’: /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:375:13: error: ‘av_packet_alloc’ was not declared in this scope avpkt = av_packet_alloc(); ^ /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:375:13: note: suggested alternative: ‘av_image_alloc’ avpkt = av_packet_alloc(); ^ av_image_alloc /root/catkin_uc/src/usb_cam/src/camera_driver.cpp: In static member function ‘static bool usb_cam::AbstractV4LUSBCam::decode_ffmpeg(const void, int, usb_cam::camera_image_t)’: /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:775:8: error: ‘avcodec_send_packet’ was not declared in this scope if(avcodec_send_packet(avcodec_context, avpkt) < 0) ^ /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:775:8: note: suggested alternative: ‘av_append_packet’ if(avcodec_send_packet(avcodec_context, avpkt) < 0) ^ av_append_packet /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:788:9: error: ‘avcodec_receive_frame’ was not declared in this scope if (avcodec_receive_frame(avcodec_context, avframe_camera) < 0) ^ /root/catkin_uc/src/usb_cam/src/camera_driver.cpp:788:9: note: suggested alternative: ‘avcodec_free_frame’ if (avcodec_receive_frame(avcodec_context, avframe_camera) < 0) ^~~~~~~~~~~ avcodec_free_frame usb_cam/CMakeFiles/v4l_driver.dir/build.make:110: recipe for target 'usb_cam/CMakeFiles/v4l_driver.dir/src/camera_driver.cpp.o' failed make[2]: * [usb_cam/CMakeFiles/v4l_driver.dir/src/camera_driver.cpp.o] Error 1 CMakeFiles/Makefile2:656: recipe for target 'usb_cam/CMakeFiles/v4l_driver.dir/all' failed make[1]: * [usb_cam/CMakeFiles/v4l_driver.dir/all] Error 2 Makefile:140: recipe for target 'all' failed make: *** [all] Error 2 Invoking "make -j4 -l4" failed

根据您提供的错误信息，错误是因为在camera_driver.cpp文件中未找到av_packet_free、av_packet_alloc、avcodec_send_packet和avcodec_receive_frame等函数。这些函数属于FFmpeg库。请按照以下步骤检查和解决此问题...

程序运行提示AttributeError: 'MyWindow' object has no attribute 'image_thread'，优化程序def open(self): self.profile = self.pipeline.start(self.config) self.is_camera_opened = True self.label.setText('相机已打开') self.label.setStyleSheet('color:green') self.open_btn.setEnabled(False) self.close_btn.setEnabled(True) # 启动 ImageThread self.image_thread = ImageThread(self.pipeline, self.color_label, self.depth_label, self.interval, self.color_photo_dir, self.depth_photo_dir, self._dgl) self.image_thread.saved_color_photos_signal.connect(self.update_saved_color_photos_label) self.image_thread.saved_depth_photos_signal.connect(self.update_saved_depth_photos_label) self.image_thread.start() def close(self): self.image_thread.stop() self.pipeline.stop() self.is_camera_opened = False self.label.setText('相机未打开') self.label.setStyleSheet('color:red') self.open_btn.setEnabled(True) self.close_btn.setEnabled(False) print("已保存color_image的数量是：%d" % self.saved_color_photos) print("已保存depth_image的数量是：%d" % self.saved_depth_photos) self.hide() # 将窗口隐藏，而非退出程序

super(MyWindow, self).__init__() self.setupUi(self) self.image_thread = None def open(self): try: self.profile = self.pipeline.start(self.config) self.is_camera_opened = True self.label....

noise_params_.initial_imu_covar = IMUCovar_vars.asDiagonal(); noise_params_.Q_imu = Q_imu_vars.asDiagonal(); noise_params_.u_var_prime = pow(feature_cov / camera_.f_u, 2); noise_params_.v_var_prime = pow(feature_cov / camera_.f_v, 2);

这里的`feature_cov`是一个参数，表示特征点在图像平面上的不确定度，`camera_.f_u`和`camera_.f_v`分别表示相机的水平和垂直焦距。这两行代码分别计算了水平和垂直方向上的像素噪声方差，并将它们赋值给了`u_var_...

建一个名为camera_node.cpp的文件

好的，以下是一个简单的camera_node.cpp文件的示例代码： ```cpp #include <ros/ros.h> #include <sensor_msgs/Image.h> int main(int argc, char** argv) { // 初始化ROS节点 ros::init(argc, argv, "camera_...

一个名为camera_driver的ROS package建一个名为camera_node.cpp的文件

好的，以下是camera_node.cpp的基本框架： ``` #include <ros/ros.h> int main(int argc, char** argv) { // 初始化ROS节点 ros::init(argc, argv, "camera_node"); // 创建ROS节点句柄 ros::NodeHandle nh; ...

RLException: [camera_publisher.py] is neither a launch file in package [my_package] nor is [my_package] a launch file name The traceback for the exception was written to the log file

这个错误提示意味着在你的 `my_package` 包中，你尝试启动一个名为 `camera_publisher.py` 的文件作为一个 launch 文件，但是它不是一个有效的 launch 文件。你需要检查一下这个文件是否真的是一个 launch 文件，...

ros中出现这个错误怎么解决No such file or directory: demo06_car_camera.urdf.xacro None None Error: Error document empty. at line 72 in /build/urdfdom-UJ3kd6/urdfdom-0.4.1/urdf_parser/src/model.cpp ERROR: Model Parsing the xml failed

这错误的原因可能是ROS系统找不到demo06_car_camera.urdf.xacro文件或者文件路径不正确。你可以先检查一下文件是否存在于正确的路径中。如果文件存在，你可以尝试使用以下命令来查看文件的权限： ``` ls -l /path/...

解读代码： def publish_image(self, imgdata, height, width): image_temp = Image() header = Header(stamp=rospy.Time.now()) header.frame_id = self.camera_frame image_temp.height = height image_temp.width = width image_temp.encoding = 'bgr8' image_temp.data = np.array(imgdata).tobytes() image_temp.header = header image_temp.step = width * 3 self.image_pub.publish(image_temp)

`self.camera_frame`表示相机坐标系，可以从当前对象的属性中获取。接下来，将图像的高度、宽度和编码方式设置到`image_temp`对象中，`encoding`设置为`'bgr8'`表示使用OpenCV中的BGR编码格式。将图像数据转换为...

ju19841124

粉丝: 0
资源: 20

Qualcomm CameraPower Debug Guide: 80-NP961-1 Rev.F - April 16, 2...

最新资源