Added encoder support for Robot/Scotty modes
Quick and dirty patch, will need to rewrite this at some pointmaster
parent
6250e70595
commit
13549ae734
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@ -16,7 +16,7 @@ class SSTVEncoder(object):
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"""Create an SSTV encoder that will encode a PIL image"""
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def __init__(self, image, mode=spec.M1):
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def __init__(self, image, mode=spec.S2):
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self.mode = mode
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self._sample_rate = 44100
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self._orig_image = image
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@ -35,7 +35,6 @@ class SSTVEncoder(object):
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def freq_to_samples(self, freq, length):
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"""Creates an array of samples using a sine wave of given frequency"""
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sample_count = round(length * self._sample_rate)
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time_space = np.linspace(0, length, sample_count, endpoint=False)
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@ -91,18 +90,43 @@ class SSTVEncoder(object):
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channels = self.mode.CHAN_COUNT
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image = self._orig_image.resize((width, height))
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if self.mode.COLOR == spec.COL_FMT.YUV:
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image = image.convert("YCbCr")
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elif image.mode != "RGB":
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image = image.convert("RGB")
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pixel_data = image.load()
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image_data = []
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for y in range(height):
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image_data.append([])
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for x in range(width):
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if self.mode.COLOR == spec.COL_FMT.GBR:
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pixel = (pixel_data[x, y][1],
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pixel_data[x, y][2],
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pixel_data[x, y][0])
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image_data[y].append(pixel)
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if channels == 2:
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if self.mode.HAS_ALT_SCAN:
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if self.mode.COLOR == spec.COL_FMT.YUV:
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if y % 2 == 0:
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ry = round((pixel_data[x, y][2]
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+ pixel_data[x, y + 1][2]) / 2)
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pixel = (pixel_data[x, y][0],
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ry)
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else:
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by = round((pixel_data[x, y][1]
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+ pixel_data[x, y - 1][1]) / 2)
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pixel = (pixel_data[x, y][0],
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by)
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elif channels == 3:
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if self.mode.COLOR == spec.COL_FMT.GBR:
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pixel = (pixel_data[x, y][1],
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pixel_data[x, y][2],
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pixel_data[x, y][0])
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elif self.mode.COLOR == spec.COL_FMT.YUV:
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pixel = (pixel_data[x, y][0],
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pixel_data[x, y][2],
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pixel_data[x, y][1])
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elif self.mode.COLOR == spec.COL_FMT.RGB:
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pixel = pixel_data[x, y]
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image_data[y].append(pixel)
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return image_data
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def encode_image_data(self, image_data):
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@ -112,16 +136,20 @@ class SSTVEncoder(object):
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sep_length = round(self.mode.SEP_PULSE * self._sample_rate)
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total_time = round(self.mode.LINE_TIME * self.mode.LINE_COUNT
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* self._sample_rate)
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* self._sample_rate * 1.05)
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total_time += sync_length if self.mode.HAS_START_SYNC else 0
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data = np.zeros(total_time)
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data_ptr = 0
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height = self.mode.LINE_COUNT
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channels = self.mode.CHAN_COUNT
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width = self.mode.LINE_WIDTH
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pixel_time = self.mode.PIXEL_TIME
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data_ptr = 0
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if self.mode.HAS_START_SYNC:
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self.add_tone_data(data, data_ptr, 1200,
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self.mode.SYNC_PULSE)
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data_ptr += sync_length
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for line in range(height):
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for chan in range(channels):
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@ -133,6 +161,14 @@ class SSTVEncoder(object):
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self.add_tone_data(data, data_ptr, 1500,
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self.mode.SYNC_PORCH)
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data_ptr += porch_length
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elif self.mode.CHAN_SYNC > 0:
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self.add_tone_data(data, data_ptr, 1500,
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self.mode.SEP_PULSE)
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data_ptr += sep_length
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pixel_time = self.mode.PIXEL_TIME
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if self.mode.HAS_HALF_SCAN and chan > 0:
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pixel_time = self.mode.HALF_PIXEL_TIME
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last_px_end = data_ptr
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for px in range(width):
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@ -144,8 +180,40 @@ class SSTVEncoder(object):
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self.add_tone_data(data, px_pos, freq, px_size)
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data_ptr = last_px_end # end of last pixel
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self.add_tone_data(data, data_ptr, 1500, self.mode.SEP_PULSE)
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data_ptr += sep_length
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if self.mode.CHAN_SYNC == 0:
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if self.mode.HAS_ALT_SCAN and chan == 0:
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if line % 2 == 0:
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self.add_tone_data(data, data_ptr, 1500,
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self.mode.SEP_PULSE)
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else:
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self.add_tone_data(data, data_ptr, 2300,
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self.mode.SEP_PULSE)
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data_ptr += sep_length
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self.add_tone_data(data, data_ptr, 1900,
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self.mode.SEP_PORCH)
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data_ptr += round(self.mode.SEP_PORCH *
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self._sample_rate)
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elif self.mode.HAS_HALF_SCAN:
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if chan == 0:
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self.add_tone_data(data, data_ptr, 1500,
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self.mode.SEP_PULSE)
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data_ptr += sep_length
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self.add_tone_data(data, data_ptr, 1900,
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self.mode.SEP_PORCH)
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data_ptr += round(self.mode.SEP_PORCH *
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self._sample_rate)
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elif chan == 1:
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self.add_tone_data(data, data_ptr, 2300,
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self.mode.SEP_PULSE)
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data_ptr += sep_length
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self.add_tone_data(data, data_ptr, 1500,
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self.mode.SEP_PORCH)
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data_ptr += round(self.mode.SEP_PORCH *
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self._sample_rate)
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else:
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self.add_tone_data(data, data_ptr, 1500,
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self.mode.SEP_PULSE)
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data_ptr += sep_length
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progress_bar(line, height - 1, "Encoding image data...")
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