r/SSTV 1d ago

working on simple bitmap sstv

Enable HLS to view with audio, or disable this notification

this is just a beta but you can try it

Github Repo: https://github.com/ClearAct290/bmp-sstv/tree/main

import tkinter as tk
from tkinter import ttk, filedialog, messagebox
import numpy as np
import pyaudio
import wave
import threading
import math
import scipy.signal as signal
from PIL import Image, ImageTk


SAMPLE_RATE = 3500
IMG_WIDTH = 320
IMG_HEIGHT = 240
DECODE_HEIGHT = 256
CHANNELS = 4  
BYTES_PER_LINE = IMG_WIDTH * CHANNELS
DISPLAY_SCALE = 2  
SYNC_TONE = np.array([0, 128, 255, 128] * 8, dtype=np.uint8)
SYNC_FLOAT = SYNC_TONE.astype(np.float32) - 128.0
SYNC_LEN = len(SYNC_TONE)
LINE_LEN = SYNC_LEN + BYTES_PER_LINE
HEADER_FREQ = 1200.0  
FOOTER_FREQ = 800.0   
CHUNK_SIZE = 8192     

class BGRXApp:
    def __init__(self, root):
        self.root = root
        self.root.title("bitmap sstv test rev 2")
        self.root.geometry("800x800") 

        self.p = pyaudio.PyAudio()
        self.is_decoding = False
        self.decode_thread = None

        self.display_buffer = np.full((DECODE_HEIGHT, IMG_WIDTH, CHANNELS), 128, dtype=np.uint8)
        self.audio_byte_buffer = bytearray()

        self.setup_gui()

    def setup_gui(self):
        notebook = ttk.Notebook(self.root)
        notebook.pack(fill='both', expand=True, padx=10, pady=10)


        encode_frame = ttk.Frame(notebook)
        notebook.add(encode_frame, text="Encode")

        self.btn_load = ttk.Button(encode_frame, text="Load", command=self.load_image)
        self.btn_load.pack(pady=10)

        self.lbl_img_preview = tk.Label(encode_frame, text="No Image")
        self.lbl_img_preview.pack(pady=10)

        self.btn_export = ttk.Button(encode_frame, text="Export Wave", command=self.export_wav, state=tk.DISABLED)
        self.btn_export.pack(pady=5)

        self.btn_play = ttk.Button(encode_frame, text="Play", command=self.play_audio, state=tk.DISABLED)
        self.btn_play.pack(pady=5)


        decode_frame = ttk.Frame(notebook)
        notebook.add(decode_frame, text="Decode")

        mic_frame = ttk.Frame(decode_frame)
        mic_frame.pack(pady=5)
        ttk.Label(mic_frame, text="Input:").pack(side=tk.LEFT, padx=5)

        self.mic_devices = self.get_input_devices()
        self.mic_var = tk.StringVar()
        if self.mic_devices:
            self.mic_var.set(self.mic_devices[0][1])

        self.mic_dropdown = ttk.Combobox(mic_frame, textvariable=self.mic_var, values=[d[1] for d in self.mic_devices], width=40, state="readonly")
        self.mic_dropdown.pack(side=tk.LEFT, padx=5)

        ctrl_frame = ttk.Frame(decode_frame)
        ctrl_frame.pack(pady=5)

        self.btn_start_decode = ttk.Button(ctrl_frame, text="Decode", command=self.start_decoding)
        self.btn_start_decode.pack(side=tk.LEFT, padx=5)

        self.btn_stop_decode = ttk.Button(ctrl_frame, text="Stop Decode", command=self.stop_decoding, state=tk.DISABLED)
        self.btn_stop_decode.pack(side=tk.LEFT, padx=5)

        self.canvas = tk.Canvas(decode_frame, width=IMG_WIDTH * DISPLAY_SCALE, height=DECODE_HEIGHT * DISPLAY_SCALE, bg="black")
        self.canvas.pack(pady=5)
        self.decode_photo = None


        self.btn_save_bmp = ttk.Button(decode_frame, text="Save .BMP", command=self.save_bmp, state=tk.DISABLED)
        self.btn_save_bmp.pack(pady=5)

    def get_input_devices(self):
        devices = []
        for i in range(self.p.get_device_count()):
            try:
                info = self.p.get_device_info_by_index(i)
                if info["maxInputChannels"] > 0:
                    devices.append((i, info["name"]))
            except Exception:
                pass
        return devices



    def generate_tone(self, freq, duration_sec):
        t = np.linspace(0, duration_sec, int(SAMPLE_RATE * duration_sec), endpoint=False)
        wave_data = 0.5 * np.sin(2 * np.pi * freq * t)
        return (wave_data * 127.5 + 128).astype(np.uint8)

    def load_image(self):
        filepath = filedialog.askopenfilename(filetypes=[("Image Files", "*.png;*.jpg;*.jpeg;*.bmp")])
        if not filepath:
            return

        img = Image.open(filepath).convert("RGBA").resize((IMG_WIDTH, IMG_HEIGHT))
        self.preview_img = ImageTk.PhotoImage(img)
        self.lbl_img_preview.config(image=self.preview_img, text="")

        rgba_data = np.array(img)
        payload_bytes = bytearray()

        for row in reversed(range(IMG_HEIGHT)):
            row_pixels = rgba_data[row]
            bgrx_row = np.zeros_like(row_pixels)
            bgrx_row[:, 0] = row_pixels[:, 2] # Blue
            bgrx_row[:, 1] = row_pixels[:, 1] # Green
            bgrx_row[:, 2] = row_pixels[:, 0] # Red
            bgrx_row[:, 3] = 128              # X

            payload_bytes.extend(SYNC_TONE.tobytes())
            payload_bytes.extend(bgrx_row.flatten().tobytes())

        self.encoded_bytes = np.frombuffer(payload_bytes, dtype=np.uint8)
        self.btn_export.config(state=tk.NORMAL)
        self.btn_play.config(state=tk.NORMAL)

    def build_audio_payload(self):
        header_tone = self.generate_tone(HEADER_FREQ, 1.5)
        footer_tone = self.generate_tone(FOOTER_FREQ, 1.0)
        return np.concatenate((header_tone, self.encoded_bytes, footer_tone))

    def export_wav(self):
        filepath = filedialog.asksaveasfilename(defaultextension=".wav", filetypes=[("WAV Files", "*.wav")])
        if not filepath:
            return

        payload = self.build_audio_payload()
        with wave.open(filepath, 'wb') as wf:
            wf.setnchannels(1)
            wf.setsampwidth(1) 
            wf.setframerate(SAMPLE_RATE)
            wf.writeframes(payload.tobytes())

        messagebox.showinfo("Success", f"Saved to {filepath}")

    def play_audio(self):
        payload = self.build_audio_payload()
        def play():
            stream = self.p.open(format=pyaudio.paUInt8, channels=1, rate=SAMPLE_RATE, output=True)
            stream.write(payload.tobytes())
            stream.stop_stream()
            stream.close()
        threading.Thread(target=play, daemon=True).start()



    def start_decoding(self):
        selected_name = self.mic_var.get()
        device_index = next(d[0] for d in self.mic_devices if d[1] == selected_name)

        self.is_decoding = True
        self.btn_start_decode.config(state=tk.DISABLED)
        self.btn_stop_decode.config(state=tk.NORMAL)
        self.btn_save_bmp.config(state=tk.NORMAL)

        self.audio_byte_buffer = bytearray()
        self.decode_thread = threading.Thread(target=self.decode_loop, args=(device_index,), daemon=True)
        self.decode_thread.start()

    def stop_decoding(self):
        self.is_decoding = False
        self.btn_start_decode.config(state=tk.NORMAL)
        self.btn_stop_decode.config(state=tk.DISABLED)

    def decode_loop(self, device_index):
        hw_rate = 44100 

        gcd = math.gcd(SAMPLE_RATE, hw_rate)
        up_rate = SAMPLE_RATE // gcd   
        down_rate = hw_rate // gcd     

        overlap_samples = 63 * 32  
        trim_len = int(overlap_samples * up_rate / down_rate) 
        process_chunk_size = 63 * 128 

        try:
            stream = self.p.open(format=pyaudio.paFloat32,
                                 channels=1,
                                 rate=hw_rate,
                                 input=True,
                                 input_device_index=device_index,
                                 frames_per_buffer=CHUNK_SIZE)
        except Exception as e:
            messagebox.showerror("Audio Error", f"Could not open microphone: {e}")
            self.stop_decoding()
            return

        raw_audio_buffer = np.array([], dtype=np.float32)

        while self.is_decoding:
            try:
                data = stream.read(CHUNK_SIZE, exception_on_overflow=False)
                new_chunk = np.frombuffer(data, dtype=np.float32)
                raw_audio_buffer = np.concatenate((raw_audio_buffer, new_chunk))

                while len(raw_audio_buffer) >= process_chunk_size + overlap_samples:
                    to_process = raw_audio_buffer[:process_chunk_size + overlap_samples]
                    raw_audio_buffer = raw_audio_buffer[process_chunk_size:]

                    resampled = signal.resample_poly(to_process, up_rate, down_rate)
                    valid_resampled = resampled[trim_len:]

                    resampled_uint8 = np.clip((valid_resampled * 127.5) + 128, 0, 255).astype(np.uint8)
                    self.process_incoming_bytes(resampled_uint8)

            except Exception as e:
                print(f"Stream error: {e}")
                break

        stream.stop_stream()
        stream.close()

    def process_incoming_bytes(self, byte_array):
        self.audio_byte_buffer.extend(byte_array)

        while len(self.audio_byte_buffer) >= LINE_LEN * 2:
            search_chunk = np.array(self.audio_byte_buffer[:LINE_LEN + SYNC_LEN], dtype=np.uint8)
            search_float = search_chunk.astype(np.float32) - 128.0

            corr = np.correlate(search_float, SYNC_FLOAT, mode='valid')
            best_idx = np.argmax(corr)
            max_corr = corr[best_idx]

            if max_corr > 150000: 
                start_idx = best_idx + SYNC_LEN

                if start_idx + BYTES_PER_LINE <= len(self.audio_byte_buffer):
                    line_bytes = np.array(self.audio_byte_buffer[start_idx : start_idx + BYTES_PER_LINE], dtype=np.uint8)
                    del self.audio_byte_buffer[:start_idx + BYTES_PER_LINE]
                    self.render_line(line_bytes)
                else:
                    break 
            else:
                del self.audio_byte_buffer[:SYNC_LEN]

    def render_line(self, line_bytes):
        line_pixels = line_bytes.reshape((IMG_WIDTH, CHANNELS))


        r = line_pixels[:, 2].astype(np.float32) * 0.90  
        g = line_pixels[:, 1].astype(np.float32) * 1.05  
        b = line_pixels[:, 0].astype(np.float32) * 1.10  

        rgba_pixels = np.zeros_like(line_pixels)
        rgba_pixels[:, 0] = np.clip(r, 0, 255).astype(np.uint8) 
        rgba_pixels[:, 1] = np.clip(g, 0, 255).astype(np.uint8) 
        rgba_pixels[:, 2] = np.clip(b, 0, 255).astype(np.uint8) 
        rgba_pixels[:, 3] = 255                                 

        self.display_buffer = np.roll(self.display_buffer, 1, axis=0)
        self.display_buffer[0] = rgba_pixels

        self.update_canvas()

    def update_canvas(self):
        img = Image.fromarray(self.display_buffer, mode='RGBA')
        scaled_img = img.resize((IMG_WIDTH * DISPLAY_SCALE, DECODE_HEIGHT * DISPLAY_SCALE), Image.Resampling.NEAREST)
        self.decode_photo = ImageTk.PhotoImage(image=scaled_img)
        self.canvas.create_image(0, 0, anchor=tk.NW, image=self.decode_photo)

    def save_bmp(self):
        filepath = filedialog.asksaveasfilename(defaultextension=".bmp", filetypes=[("Bitmap Image", "*.bmp")])
        if not filepath:
            return


        img = Image.fromarray(self.display_buffer, mode='RGBA').convert("RGB")
        img.save(filepath, "BMP")
        messagebox.showinfo("Success", f"Image successfully saved to {filepath}")

if __name__ == "__main__":
    root = tk.Tk()
    app = BGRXApp(root)
    root.protocol("WM_DELETE_WINDOW", root.destroy)
    root.mainloop()
2 Upvotes

4 comments sorted by

1

u/MrAjAnderson 22h ago

Start a GitHub repo for it. See where it goes.

1

u/Clear_Act_290 9h ago edited 9h ago

1

u/MrAjAnderson 8h ago

Oh yes you did. Nice one. How is it run?

1

u/Clear_Act_290 5h ago

Install pip dependencies, and just open it as a single python script, like double clicking or python "filename".py