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Author | SHA1 | Date |
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kris | 4f6d7a796a | |
kris | d603445862 | |
kris | 45ce98d6ef |
21
README.md
21
README.md
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@ -48,6 +48,27 @@ I gave a talk about this at [KansasFest 2019](https://www.kansasfest.org/), see
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TODO: link video once it is available.
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## Installation
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This currently requires python3.7 because some dependencies (e.g. weighted-levenshtein) don't compile with 3.9+, and 3.8
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has a [bug](https://bugs.python.org/issue44439) in object pickling.
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```
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python3.7 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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```
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To generate the data files required by the transcoder:
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```
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% python transcoder/make_data_tables.py
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```
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This takes about 3 hours on my machine.
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TODO: download instructions
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## Release Notes
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### v0.2 (19 July 2019)
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File diff suppressed because one or more lines are too long
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@ -0,0 +1,4 @@
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-r requirements.txt
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py65==1.1.0
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flake8==5.0.4
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black==22.12.0
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@ -0,0 +1,12 @@
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audioread==3.0.0
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colormath==3.0.0
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etaprogress==1.1.1
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librosa==0.9.2
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networkx==2.6.3
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numpy==1.21.6
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Pillow==9.4.0
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scikit-learn==1.0.2
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scikit-video==1.1.11
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scipy==1.7.3
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soundfile==0.11.0
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weighted-levenshtein==0.2.1
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@ -58,7 +58,7 @@ def compute_diff_matrix(pal: Type[palette.BasePalette]):
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Specifically CIE2000 delta values for this palette.
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"""
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dm = np.ndarray(shape=(16, 16), dtype=np.int)
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dm = np.ndarray(shape=(16, 16), dtype=np.int32)
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for colour1, a in pal.RGB.items():
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alab = colormath.color_conversions.convert_color(
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@ -39,7 +39,7 @@ X_Y_TO_PAGE = np.zeros((192, 40), dtype=np.uint8)
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X_Y_TO_OFFSET = np.zeros((192, 40), dtype=np.uint8)
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# Mask of which (page, offset) bytes represent screen holes
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SCREEN_HOLES = np.full((32, 256), True, dtype=np.bool)
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SCREEN_HOLES = np.full((32, 256), True, dtype=np.bool8)
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# Dict mapping memory address to (page, y, x_byte) tuple
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ADDR_TO_COORDS = {}
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@ -417,7 +417,7 @@ class Bitmap:
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this content byte.
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"""
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diff = np.ndarray((32, 256), dtype=np.int)
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diff = np.ndarray((32, 256), dtype=np.int32)
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offsets = self._byte_offsets(is_aux)
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@ -53,9 +53,9 @@ class Video:
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)
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# Accumulates pending edit weights across frames
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self.update_priority = np.zeros((32, 256), dtype=np.int)
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self.update_priority = np.zeros((32, 256), dtype=np.int32)
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if self.mode == mode.DHGR:
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self.aux_update_priority = np.zeros((32, 256), dtype=np.int)
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self.aux_update_priority = np.zeros((32, 256), dtype=np.int32)
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def tick(self, ticks: int) -> bool:
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"""Keep track of when it is time for a new image frame."""
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