diff options
| -rw-r--r-- | tests/acceptance/machine_arm_integratorcp.py | 52 |
1 files changed, 52 insertions, 0 deletions
diff --git a/tests/acceptance/machine_arm_integratorcp.py b/tests/acceptance/machine_arm_integratorcp.py index 22afd3b82a..49c8ebff78 100644 --- a/tests/acceptance/machine_arm_integratorcp.py +++ b/tests/acceptance/machine_arm_integratorcp.py @@ -9,11 +9,26 @@ # later. See the COPYING file in the top-level directory. import os +import logging from avocado import skipUnless from avocado_qemu import Test from avocado_qemu import wait_for_console_pattern + +NUMPY_AVAILABLE = True +try: + import numpy as np +except ImportError: + NUMPY_AVAILABLE = False + +CV2_AVAILABLE = True +try: + import cv2 +except ImportError: + CV2_AVAILABLE = False + + class IntegratorMachine(Test): timeout = 90 @@ -45,3 +60,40 @@ class IntegratorMachine(Test): """ self.boot_integratorcp() wait_for_console_pattern(self, 'Log in as root') + + @skipUnless(NUMPY_AVAILABLE, 'Python NumPy not installed') + @skipUnless(CV2_AVAILABLE, 'Python OpenCV not installed') + @skipUnless(os.getenv('AVOCADO_ALLOW_UNTRUSTED_CODE'), 'untrusted code') + def test_framebuffer_tux_logo(self): + """ + Boot Linux and verify the Tux logo is displayed on the framebuffer. + :avocado: tags=arch:arm + :avocado: tags=machine:integratorcp + :avocado: tags=device:pl110 + :avocado: tags=device:framebuffer + """ + screendump_path = os.path.join(self.workdir, "screendump.pbm") + tuxlogo_url = ('https://github.com/torvalds/linux/raw/v2.6.12/' + 'drivers/video/logo/logo_linux_vga16.ppm') + tuxlogo_hash = '3991c2ddbd1ddaecda7601f8aafbcf5b02dc86af' + tuxlogo_path = self.fetch_asset(tuxlogo_url, asset_hash=tuxlogo_hash) + + self.boot_integratorcp() + framebuffer_ready = 'Console: switching to colour frame buffer device' + wait_for_console_pattern(self, framebuffer_ready) + self.vm.command('human-monitor-command', command_line='stop') + self.vm.command('human-monitor-command', + command_line='screendump %s' % screendump_path) + logger = logging.getLogger('framebuffer') + + cpu_count = 1 + match_threshold = 0.92 + screendump_bgr = cv2.imread(screendump_path) + screendump_gray = cv2.cvtColor(screendump_bgr, cv2.COLOR_BGR2GRAY) + result = cv2.matchTemplate(screendump_gray, cv2.imread(tuxlogo_path, 0), + cv2.TM_CCOEFF_NORMED) + loc = np.where(result >= match_threshold) + tux_count = 0 + for tux_count, pt in enumerate(zip(*loc[::-1]), start=1): + logger.debug('found Tux at position [x, y] = %s', pt) + self.assertGreaterEqual(tux_count, cpu_count) |