Refactor packetizer and depacketizer components; update test scripts and images
- Modified the graph structure in pak_depak.bda to correct node and edge connections. - Adjusted testbench for packetizer (tb_packetizer.vhd) to fix data values and packet sizes. - Enhanced packetizer.vhd to manage footer sending based on last signal. - Removed obsolete executable file LAB2-Test_new.exe. - Updated Python test script (test.py) to include new test case for depack > pack functionality and improved image handling. - Altered Vivado project files to reflect changes in simulation and synthesis settings. - Deleted unnecessary test executable and added new image for depack > pack testing.
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@@ -1,4 +1,4 @@
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""" import sys
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import sys
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import subprocess
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def install_and_import(package, package_name=None):
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@@ -16,7 +16,7 @@ install_and_import("serial", "pyserial")
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install_and_import("PIL", "pillow")
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install_and_import("tqdm")
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install_and_import("numpy")
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install_and_import("scipy") """
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install_and_import("scipy")
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from serial import Serial
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import serial.tools.list_ports
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@@ -30,6 +30,7 @@ IMAGE_UF = r'C:\DESD\LAB2\test\test_uf.png'
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IMAGE_NAME3 = r'C:\DESD\LAB2\test\test3.png'
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IMAGE_NAME2 = r'C:\DESD\LAB2\test\test2.png'
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IMAGE_NAME1 = r'C:\DESD\LAB2\test\test1.png'
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IMAGE_DEPACK_PACK = r'C:\DESD\LAB2\test\test_depack_pack.png'
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BASYS3_PID = 0x6010
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BASYS3_VID = 0x0403
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@@ -45,17 +46,22 @@ for port in serial.tools.list_ports.comports():
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if not dev:
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raise RuntimeError("Basys 3 Not Found!")
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test_n = int(input("Insert test number (1, 2, 3, overflow (4) or underflow (5)): ").strip())
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test_n = int(input("Insert test number (1, 2, 3, 4 (overflow), 5 (underflow) or 6 (depack > pack only)): ").strip())
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if test_n not in [1, 2, 3, 4, 5]:
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raise RuntimeError("Test number must be 1, 2, 3, 4 (overflow) or 5 (underflow)")
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if test_n not in [1, 2, 3, 4, 5, 6]:
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raise RuntimeError("Test number must be 1, 2, 3, 4 (overflow), 5 (underflow) or 6 (depack > pack only)")
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dev = Serial(dev, 115200)
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img = Image.open(IMAGE_NAME1 if test_n == 1 else IMAGE_NAME2 if test_n == 2 else IMAGE_NAME3 if test_n == 3 else IMAGE_UF if test_n == 5 else IMAGE_OF)
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img = Image.open(IMAGE_NAME1 if test_n == 1 else IMAGE_NAME2 if test_n == 2 else IMAGE_NAME3 if test_n == 3 else IMAGE_OF if test_n == 4 else IMAGE_UF if test_n == 5 else IMAGE_DEPACK_PACK)
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if img.mode != "RGB":
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img = img.convert("RGB")
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if test_n == 4:
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print("Check for overflow (LED U16)")
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elif test_n == 5:
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print("Check for underflow (LED U19)")
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IMG_WIDTH, IMG_HEIGHT = img.size # Get dimensions from the image
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mat = np.asarray(img, dtype=np.uint8)
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@@ -64,39 +70,59 @@ mat = mat[:, :, :3]
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if mat.max() > 127:
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mat = mat // 2
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buff = mat.tobytes()
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res = b''
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mat_gray = np.sum(mat, axis=2) // 3
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if test_n == 6:
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print("Check for depack > pack")
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sim_img = convolve2d(mat_gray, [[-1, -1, -1], [-1, 8, -1], [-1, -1, -1]], mode="same")
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total_bytes = IMG_HEIGHT * IMG_WIDTH * 3
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for idx in tqdm(range(total_bytes)):
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i = idx // (IMG_WIDTH * 3)
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j = (idx // 3) % IMG_WIDTH
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k = idx % 3
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sim_img[sim_img < 0] = 0
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sim_img[sim_img > 127] = 127
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sim_img = sim_img.astype(np.uint8)
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dev.write(b'\xff')
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dev.write(bytes([mat[i, j, k]]))
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dev.write(b'\xf1')
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dev.flush()
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dev.write(b'\xff')
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for i in tqdm(range(IMG_HEIGHT)):
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dev.write(buff[i * IMG_WIDTH * 3:(i + 1) * IMG_WIDTH * 3])
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# Read 3 bytes: header, data, footer
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resp = dev.read(3)
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res += resp[1:2] # Only keep the data byte
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dev.write(b'\xf1')
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dev.flush()
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res_img = np.frombuffer(res, dtype=np.uint8)
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res_img = res_img.reshape((IMG_HEIGHT, IMG_WIDTH, 3))
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if test_n == 4:
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print("Check for overflow (LED U16)")
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exit()
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elif test_n == 5:
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print("Check for underflow (LED U19)")
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exit()
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else:
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buff = mat.tobytes()
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res = dev.read(IMG_HEIGHT * IMG_WIDTH + 2)
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mat_gray = np.sum(mat, axis=2) // 3
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res_img = np.frombuffer(res[1:-1], dtype=np.uint8)
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res_img = res_img.reshape((IMG_HEIGHT, IMG_WIDTH))
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sim_img = convolve2d(mat_gray, [[-1, -1, -1], [-1, 8, -1], [-1, -1, -1]], mode="same")
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sim_img[sim_img < 0] = 0
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sim_img[sim_img > 127] = 127
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sim_img = sim_img.astype(np.uint8)
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dev.write(b'\xff')
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for i in tqdm(range(IMG_HEIGHT)):
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dev.write(buff[i * IMG_WIDTH * 3:(i + 1) * IMG_WIDTH * 3])
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dev.write(b'\xf1')
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dev.flush()
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if test_n == 4 or test_n == 5:
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exit()
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else:
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res = dev.read(IMG_HEIGHT * IMG_WIDTH + 2)
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res_img = np.frombuffer(res[1:-1], dtype=np.uint8)
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res_img = res_img.reshape((IMG_HEIGHT, IMG_WIDTH))
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if (test_n == 6 and (res_img == mat).all()) or (res_img == sim_img).all():
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print("Image Match!")
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else:
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print("Image Mismatch!")
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im = Image.fromarray(res_img)
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im.show()
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if np.all(res_img != sim_img):
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print("Image Mismatch!")
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dev.close()
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