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authorPhilippe Mathieu-Daudé <f4bug@amsat.org>2020-02-25 18:25:01 +0100
committerPeter Maydell <peter.maydell@linaro.org>2020-02-28 16:14:57 +0000
commit15b1bdca1e0ffb549a63493ecf296f727b5c95e2 (patch)
treede64851f6f2fe67411c51d6fc9f6d6688a33486e /tests/acceptance/machine_arm_integratorcp.py
parent595f1acaa4f04197cd0c25eb7ca22102c4e217fb (diff)
tests/acceptance/integratorcp: Verify Tux is displayed on framebuffer
Add a test that verifies the Tux logo is displayed on the framebuffer. We simply follow the OpenCV "Template Matching with Multiple Objects" tutorial, replacing Lionel Messi by Tux: https://docs.opencv.org/4.2.0/d4/dc6/tutorial_py_template_matching.html When OpenCV and NumPy are installed, this test can be run using: $ AVOCADO_ALLOW_UNTRUSTED_CODE=hmmm \ avocado --show=app,framebuffer run -t device:framebuffer \ tests/acceptance/machine_arm_integratorcp.py JOB ID : 8c46b0f8269242e87d738247883ea2a470df949e JOB LOG : avocado/job-results/job-2020-01-31T21.38-8c46b0f/job.log (1/1) tests/acceptance/machine_arm_integratorcp.py:IntegratorMachine.test_framebuffer_tux_logo: framebuffer: found Tux at position [x, y] = (0, 0) PASS (3.96 s) RESULTS : PASS 1 | ERROR 0 | FAIL 0 | SKIP 0 | WARN 0 | INTERRUPT 0 | CANCEL 0 JOB TIME : 4.23 s Signed-off-by: Philippe Mathieu-Daudé <f4bug@amsat.org> Reviewed-by: Wainer dos Santos Moschetta <wainersm@redhat.com> Message-id: 20200225172501.29609-5-philmd@redhat.com Message-Id: <20200131211102.29612-3-f4bug@amsat.org> Signed-off-by: Philippe Mathieu-Daudé <f4bug@amsat.org> Signed-off-by: Peter Maydell <peter.maydell@linaro.org>
Diffstat (limited to 'tests/acceptance/machine_arm_integratorcp.py')
-rw-r--r--tests/acceptance/machine_arm_integratorcp.py52
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)