Update hardware tests and fix PNG saving with picamera
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e3e3afbca6
commit
29518e9cb9
5 changed files with 68 additions and 20 deletions
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@ -7,11 +7,8 @@ import numpy as np
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from PIL import Image
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def test_jpeg_and_array(picamera_client):
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"""Check that a jpeg grabbed from the stream is the same size as other captures.
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Compare it to an array capture and a jpeg capture.
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"""
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def test_quick_capture_size(picamera_client):
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"""Check that a jpeg grabbed from the stream is the same size as a quick capture."""
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# Grab a jpeg from the stream
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blob = picamera_client.grab_jpeg()
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mjpeg_frame = Image.open(blob.open())
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@ -20,13 +17,17 @@ def test_jpeg_and_array(picamera_client):
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assert mjpeg_frame.format == "JPEG"
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# Capture a jpeg
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blob = picamera_client.capture_jpeg(stream_name="main")
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blob = picamera_client.capture(
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capture_mode="quick",
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image_format="jpeg",
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retain_image=True,
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)
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jpeg_capture = Image.open(blob.open())
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jpeg_capture.verify()
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assert jpeg_capture.format == "JPEG"
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# Capture an array
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arrlist = picamera_client.capture_as_array(stream_name="main")
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arrlist = picamera_client.capture_as_array(capture_mode="quick")
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array_main = np.array(arrlist)
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# Verify image sizes are the same
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@ -34,6 +35,41 @@ def test_jpeg_and_array(picamera_client):
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assert array_main.shape[1::-1] == jpeg_capture.size
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def test_format(picamera_client):
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"""Check capture format is as requested."""
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# Capture a jpeg
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blob = picamera_client.capture(
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capture_mode="quick",
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image_format="jpeg",
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retain_image=True,
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)
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jpeg_capture = Image.open(blob.open())
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jpeg_capture.verify()
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assert jpeg_capture.format == "JPEG"
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blob = picamera_client.capture(
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capture_mode="quick",
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image_format="png",
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retain_image=True,
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)
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jpeg_capture = Image.open(blob.open())
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jpeg_capture.verify()
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assert jpeg_capture.format == "PNG"
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def test_standard_capture_size(picamera_client):
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"""Check standard capture mode captures at expected size."""
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# Capture a jpeg
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blob = picamera_client.capture(
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capture_mode="standard",
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image_format="jpeg",
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retain_image=True,
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)
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jpeg_capture = Image.open(blob.open())
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jpeg_capture.verify()
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assert jpeg_capture.size == (1640, 1232)
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def test_record_framerate(picamera_client):
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"""Check that framerate monitoring creates a valid JSON log with good data."""
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log_file = Path(picamera_client.record_framerate(duration=1.0))
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@ -39,7 +39,7 @@ def _test_exposure_time_drift(desired_time: int) -> None:
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assert abs(pre_capture_et - desired_time) < EXPOSURE_TOL
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for i in range(10):
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client.capture_jpeg(stream_name="full")
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client.capture(capture_mode="full")
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if i == 0:
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# Exposure can update on first capture, due to frame rate restrictions
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first_et = client.exposure_time
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@ -56,7 +56,7 @@ def _test_exposure_time_drift(desired_time: int) -> None:
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time.sleep(0.5)
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# Check before and after capture
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assert client.exposure_time == frame_et
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client.capture_jpeg(stream_name="full")
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client.capture(capture_mode="full")
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assert client.exposure_time == frame_et
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print("Exposure time didn't change!!")
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print(f"End of test for exposure target {desired_time}")
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@ -82,7 +82,7 @@ def test_exposure_time_on_start_and_stop_stream():
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# Take a couple of images to make sure that the exposure is adjusted to
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# a hardware compatible value.
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for _i in range(2):
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client.capture_jpeg(stream_name="full")
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client.capture(capture_mode="full")
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# Save this time.
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set_time = client.exposure_time
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assert abs(set_time - desired_time) < EXPOSURE_TOL
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@ -112,7 +112,7 @@ def _load_camera_and_return_exposure(tmpdir: str) -> int:
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# Take a couple of images to make sure that the exposure is adjusted to
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# a hardware compatible value.
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for _i in range(2):
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client.capture_jpeg(stream_name="full")
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client.capture(capture_mode="full")
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# Save this time.
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return client.exposure_time
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@ -14,7 +14,7 @@ def test_streaming_mode():
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with camera_test_client() as client:
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for mode, res in ["default", (820, 616)], ["full_resolution", (3280, 2464)]:
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client.change_streaming_mode(mode=mode)
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arr = np.array(client.capture_as_array(stream_name="main"))
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arr = np.array(client.capture_as_array(capture_mode="quick"))
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# Check that the array dimensions match the requested image size.
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# Note: Numpy array shape is (y,x), but the sensor is set with (x,y)
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# hence the need to compare index 0 with index 1.
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