Update hardware tests and fix PNG saving with picamera
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5 changed files with 68 additions and 20 deletions
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@ -42,6 +42,10 @@ class ImageFormatInfo(BaseModel):
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supported_extensions: tuple[str, ...]
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supported_extensions: tuple[str, ...]
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"""All supported extension (lowercase)."""
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"""All supported extension (lowercase)."""
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def path_matches(self, path: str) -> bool:
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"""Return True if path matches one of the supported extensions."""
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return path.lower().endswith(self.supported_extensions)
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BASE_IMAGE_FORMATS: dict[str, ImageFormatInfo] = {
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BASE_IMAGE_FORMATS: dict[str, ImageFormatInfo] = {
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"jpeg": ImageFormatInfo(
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"jpeg": ImageFormatInfo(
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@ -462,7 +466,7 @@ class BaseCamera(OFMThing, ABC):
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complete, this error will not be raised until the data is accessed. Consider
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complete, this error will not be raised until the data is accessed. Consider
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using ``grab_jpeg_as_array`` instead.
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using ``grab_jpeg_as_array`` instead.
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This differs from ``capture_jpeg`` in that it does not pause the MJPEG
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This differs from ``capture`` in that it does not pause the MJPEG
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preview stream. Instead, we simply return the next frame from that
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preview stream. Instead, we simply return the next frame from that
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stream (either "main" for the preview stream, or "lores" for the low
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stream (either "main" for the preview stream, or "lores" for the low
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resolution preview). No metadata is returned.
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resolution preview). No metadata is returned.
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@ -679,8 +683,7 @@ class BaseCamera(OFMThing, ABC):
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image = image.resize(save_resolution, Image.Resampling.BOX)
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image = image.resize(save_resolution, Image.Resampling.BOX)
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try:
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try:
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save_kwargs: dict[str, Any] = {}
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save_kwargs: dict[str, Any] = {}
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jpeg_exts = BASE_IMAGE_FORMATS["jpeg"].supported_extensions
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if BASE_IMAGE_FORMATS["jpeg"].path_matches(resolved_path):
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if resolved_path.lower().endswith(jpeg_exts):
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# Per PIL documentation,
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# Per PIL documentation,
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# (https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#jpeg)
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# (https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#jpeg)
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# there are two factors when saving a JPEG. Subsampling affects the colour,
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# there are two factors when saving a JPEG. Subsampling affects the colour,
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@ -689,6 +692,11 @@ class BaseCamera(OFMThing, ABC):
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# quality = 95 is the maximum recommended - above this, JPEG compression is
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# quality = 95 is the maximum recommended - above this, JPEG compression is
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# disabled, file size increases and quality is barely or not affected
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# disabled, file size increases and quality is barely or not affected
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save_kwargs = {"quality": 95, "subsampling": 0}
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save_kwargs = {"quality": 95, "subsampling": 0}
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if (
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BASE_IMAGE_FORMATS["png"].path_matches(resolved_path)
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and image.mode == "RGBX"
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):
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image = image.convert("RGB")
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image.save(resolved_path, **save_kwargs)
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image.save(resolved_path, **save_kwargs)
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try:
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try:
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self._add_metadata_to_capture(resolved_path, dict(metadata))
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self._add_metadata_to_capture(resolved_path, dict(metadata))
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@ -7,11 +7,8 @@ import numpy as np
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from PIL import Image
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from PIL import Image
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def test_jpeg_and_array(picamera_client):
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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 other captures.
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"""Check that a jpeg grabbed from the stream is the same size as a quick capture."""
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Compare it to an array capture and a jpeg capture.
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"""
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# Grab a jpeg from the stream
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# Grab a jpeg from the stream
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blob = picamera_client.grab_jpeg()
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blob = picamera_client.grab_jpeg()
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mjpeg_frame = Image.open(blob.open())
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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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assert mjpeg_frame.format == "JPEG"
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# Capture a 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 = Image.open(blob.open())
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jpeg_capture.verify()
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jpeg_capture.verify()
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assert jpeg_capture.format == "JPEG"
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assert jpeg_capture.format == "JPEG"
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# Capture an array
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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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array_main = np.array(arrlist)
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# Verify image sizes are the same
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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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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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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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"""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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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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assert abs(pre_capture_et - desired_time) < EXPOSURE_TOL
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for i in range(10):
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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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if i == 0:
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# Exposure can update on first capture, due to frame rate restrictions
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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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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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time.sleep(0.5)
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# Check before and after capture
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# Check before and after capture
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assert client.exposure_time == frame_et
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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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assert client.exposure_time == frame_et
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print("Exposure time didn't change!!")
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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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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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# 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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# a hardware compatible value.
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for _i in range(2):
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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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# Save this time.
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set_time = client.exposure_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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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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# 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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# a hardware compatible value.
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for _i in range(2):
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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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# Save this time.
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return client.exposure_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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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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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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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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# 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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# 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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# hence the need to compare index 0 with index 1.
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@ -79,6 +79,7 @@ class MemorySaveTestCase:
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filename: str = "foobar.jpeg"
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filename: str = "foobar.jpeg"
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save_resolution: Optional[tuple[int, int]] = None
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save_resolution: Optional[tuple[int, int]] = None
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resize_needed: bool = False
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resize_needed: bool = False
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convert_needed: bool = False
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save_kwargs: dict[str, int] = field(
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save_kwargs: dict[str, int] = field(
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default_factory=lambda: {"quality": 95, "subsampling": 0}
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default_factory=lambda: {"quality": 95, "subsampling": 0}
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)
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)
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@ -91,9 +92,9 @@ SAVE_TEST_CASES = [
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MemorySaveTestCase("foobar.JPEG"),
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MemorySaveTestCase("foobar.JPEG"),
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MemorySaveTestCase("foobar.JPG"),
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MemorySaveTestCase("foobar.JPG"),
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MemorySaveTestCase("foobar.png.jpeg"),
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MemorySaveTestCase("foobar.png.jpeg"),
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MemorySaveTestCase("foobar.png", save_kwargs={}),
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MemorySaveTestCase("foobar.png", save_kwargs={}, convert_needed=True),
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MemorySaveTestCase("foobar.PNG", save_kwargs={}),
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MemorySaveTestCase("foobar.PNG", save_kwargs={}, convert_needed=True),
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MemorySaveTestCase("foobar.jpeg.png", save_kwargs={}),
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MemorySaveTestCase("foobar.jpeg.png", save_kwargs={}, convert_needed=True),
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MemorySaveTestCase(save_resolution=None, resize_needed=False),
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MemorySaveTestCase(save_resolution=None, resize_needed=False),
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MemorySaveTestCase(save_resolution=(1000, 1200), resize_needed=False),
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MemorySaveTestCase(save_resolution=(1000, 1200), resize_needed=False),
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MemorySaveTestCase(save_resolution=(2000, 2400), resize_needed=True),
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MemorySaveTestCase(save_resolution=(2000, 2400), resize_needed=True),
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@ -112,10 +113,12 @@ def test_save_from_memory(test_case, test_env, mocker):
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mocker.patch.object(type(camera), "capture_modes", capture_modes_mock)
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mocker.patch.object(type(camera), "capture_modes", capture_modes_mock)
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mock_image = mocker.Mock()
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mock_image = mocker.Mock()
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# Make resize return itself so we can track further calls of the Image object after
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# Make resize and convert return itself so we can track further calls of the Image
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# a resize
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# object after a resize
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mock_image.resize.return_value = mock_image
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mock_image.resize.return_value = mock_image
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mock_image.convert.return_value = mock_image
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mock_image.size = (1000, 1200)
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mock_image.size = (1000, 1200)
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mock_image.mode = "RGBX"
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camera._memory_buffer.get_image.return_value = (
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camera._memory_buffer.get_image.return_value = (
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mock_image,
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mock_image,
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@ -131,5 +134,6 @@ def test_save_from_memory(test_case, test_env, mocker):
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assert camera._memory_buffer.get_image.call_args.args == (33,)
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assert camera._memory_buffer.get_image.call_args.args == (33,)
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assert camera._add_metadata_to_capture.call_count == 1
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assert camera._add_metadata_to_capture.call_count == 1
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assert mock_image.resize.call_count == (1 if test_case.resize_needed else 0)
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assert mock_image.resize.call_count == (1 if test_case.resize_needed else 0)
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assert mock_image.convert.call_count == (1 if test_case.convert_needed else 0)
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assert mock_image.save.call_count == 1
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assert mock_image.save.call_count == 1
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assert mock_image.save.call_args.kwargs == test_case.save_kwargs
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assert mock_image.save.call_args.kwargs == test_case.save_kwargs
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