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.. _py_bull_fight:
10. Bull Fight
=============================
Make PiCar-X an angry bull! Use its camera to track and rush the red cloth!
**Run the Code**
.. raw:: html
.. code-block::
cd ~/picar-x/example
sudo python3 10.bull_fight.py
**View the Image**
After the code runs, the terminal will display the following prompt:
.. code-block::
No desktop !
* Serving Flask app "vilib.vilib" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://0.0.0.0:9000/ (Press CTRL+C to quit)
Then you can enter ``http://:9000/mjpg`` in the browser to view the video screen. such as: ``https://192.168.18.113:9000/mjpg``
.. image:: img/display.png
**Code**
.. note::
You can **Modify/Reset/Copy/Run/Stop** the code below. But before that, you need to go to source code path like ``picar-x\examples``. After modifying the code, you can run it directly to see the effect.
.. raw:: html
.. code-block:: python
from picarx import Picarx
from time import sleep
from vilib import Vilib
px = Picarx()
def clamp_number(num,a,b):
return max(min(num, max(a, b)), min(a, b))
def main():
Vilib.camera_start()
Vilib.display()
Vilib.color_detect("red")
speed = 50
dir_angle=0
x_angle =0
y_angle =0
while True:
if Vilib.detect_obj_parameter['color_n']!=0:
coordinate_x = Vilib.detect_obj_parameter['color_x']
coordinate_y = Vilib.detect_obj_parameter['color_y']
# change the pan-tilt angle for track the object
x_angle +=(coordinate_x*10/640)-5
x_angle = clamp_number(x_angle,-35,35)
px.set_cam_pan_angle(x_angle)
y_angle -=(coordinate_y*10/480)-5
y_angle = clamp_number(y_angle,-35,35)
px.set_cam_tilt_angle(y_angle)
# move
# The movement direction will change slower than the pan/tilt direction
# change to avoid confusion when the picture changes at high speed.
if dir_angle > x_angle:
dir_angle -= 1
elif dir_angle < x_angle:
dir_angle += 1
px.set_dir_servo_angle(x_angle)
px.forward(speed)
sleep(0.05)
else :
px.forward(0)
sleep(0.05)
if __name__ == "__main__":
try:
main()
finally:
px.stop()
print("stop and exit")
sleep(0.1)
**How it works?**
You need to pay attention to the following three parts of this example:
1. Define the main function:
* Start the camera using ``Vilib.camera_start()``.
* Display the camera feed using ``Vilib.display()``.
* Enable color detection and specify the target color as "red" using ``Vilib.color_detect("red")``.
* Initialize variables: ``speed`` for car movement speed, ``dir_angle`` for the direction angle of the car's movement, ``x_angle`` for the camera's pan angle, and ``y_angle`` for the camera's tilt angle.
2. Enter a continuous loop (while True) to track the red-colored object:
* Check if there is a detected red-colored object (``Vilib.detect_obj_parameter['color_n'] != 0``).
* If a red-colored object is detected, obtain its coordinates (``coordinate_x`` and ``coordinate_y``).
* Calculate new pan and tilt angles (``x_angle`` and ``y_angle``) based on the detected object's position and adjust them to track the object.
* Limit the pan and tilt angles within the specified range using the ``clamp_number`` function.
* Set the camera's pan and tilt angles using ``px.set_cam_pan_angle()`` and ``px.set_cam_tilt_angle()`` to keep the object in view.
3. Control the car's movement based on the difference between dir_angle and ``x_angle``:
* If ``dir_angle`` is greater than ``x_angle``, decrement ``dir_angle`` by 1 to gradually change the direction angle.
* If ``dir_angle`` is less than ``x_angle``, increment ``dir_angle`` by 1.
* Set the direction servo angle using ``px.set_dir_servo_angle()`` to steer the car's wheels accordingly.
* Move the car forward at the specified speed using ``px.forward(speed)``.