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scripts/examples/28-Global-Shutter/high_fps.py
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scripts/examples/28-Global-Shutter/high_fps.py
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# High FPS Example
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#
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# This example shows off how to make the frame rate of the global shutter camera extremely
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# high. To do so you need to set the resolution to a low value such that pixel binning is
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# activated on the camera and then reduce the maximum exposure time.
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#
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# When the resolution is 320x240 or less the camera reads out pixels 2x faster. When the
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# resolution is 160x120 or less the camera reads out pixels 4x faster. This happens due
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# to pixel binning which is automatically activated for you to increase the readout speed.
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#
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# While the readout speed may increase the camera must still expose the image for the request
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# time so you will not get the maximum readout speed unless you reduce the exposure time too.
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# This results in a dark image however so YOU NEED A LOT of lighting for high FPS.
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import sensor, image, time
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sensor.reset() # Reset and initialize the sensor.
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sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to GRAYSCALE
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sensor.set_framesize(sensor.QQVGA) # Set frame size to QQVGA (160x120) - make smaller to go faster
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sensor.skip_frames(time = 2000) # Wait for settings take effect.
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clock = time.clock() # Create a clock object to track the FPS.
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sensor.set_auto_exposure(True, exposure_us=5000) # make smaller to go faster
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while(True):
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clock.tick() # Update the FPS clock.
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img = sensor.snapshot() # Take a picture and return the image.
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print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected
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# to the IDE. The FPS should increase once disconnected.
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scripts/examples/28-Global-Shutter/triggered_mode.py
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scripts/examples/28-Global-Shutter/triggered_mode.py
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# Global Shutter Triggered Mode Example
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#
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# This example shows off setting the global shutter camera into triggered mode. In triggered mode
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# snapshot() controls EXACTLY when integration of the camera pixels start such that you can sync
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# taking pictures to some external movement. Since the camera captures all pixels at the same time
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# (as it is a global shutter camera versus a rolling shutter camera) movement in the image will
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# only be captured for the integration time and not the integration time multipled by the number
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# of rows in the image. Additionally, sensor noise is reduced in triggered mode as the camera will
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# not read out rows until after exposing which results in a higher quality image.
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#
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# That said, your maximum frame rate will be reduced by 2 to 3 as frames are no longer generated
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# continously by the camera and because you have to wait for the integration to finish before
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# readout of the frame.
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import sensor, image, time
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sensor.reset() # Reset and initialize the sensor.
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sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to GRAYSCALE
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sensor.set_framesize(sensor.VGA) # Set frame size to VGA (640x480)
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sensor.skip_frames(time = 2000) # Wait for settings take effect.
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clock = time.clock() # Create a clock object to track the FPS.
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sensor.mt9v034_set_triggered_mode(True)
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while(True):
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clock.tick() # Update the FPS clock.
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img = sensor.snapshot() # Take a picture and return the image.
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print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected
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# to the IDE. The FPS should increase once disconnected.
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